{"id":282,"date":"2016-05-07T21:54:14","date_gmt":"2016-05-07T21:54:14","guid":{"rendered":"http:\/\/blogs.softwareclue.com\/?p=282"},"modified":"2016-05-07T21:54:14","modified_gmt":"2016-05-07T21:54:14","slug":"%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0machine-learning%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0deep-learning%e8%b5%84%e6%96%99chapter-1","status":"publish","type":"post","link":"http:\/\/blog.softwareclues.com\/zh\/%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0machine-learning%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0deep-learning%e8%b5%84%e6%96%99chapter-1","title":{"rendered":"\u673a\u5668\u5b66\u4e60(Machine Learning)&#038;\u6df1\u5ea6\u5b66\u4e60(Deep Learning)\u8d44\u6599(Chapter 1)"},"content":{"rendered":"<p>by <a class=\"user-mention\" href=\"https:\/\/github.com\/ty4z2008\" rel=\"author\">ty4z2008<\/a> (\u5ed6\u541b)<\/p>\n<p>Source: <a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/dl.md\" target=\"_blank\">https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/dl.md<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.erogol.com\/brief-history-machine-learning\/\">\u300aBrief History of Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u7bc7\u4ecb\u7ecd\u673a\u5668\u5b66\u4e60\u5386\u53f2\u7684\u6587\u7ae0\uff0c\u4ecb\u7ecd\u5f88\u5168\u9762\uff0c\u4ece\u611f\u77e5\u673a\u3001\u795e\u7ecf\u7f51\u7edc\u3001\u51b3\u7b56\u6811\u3001SVM\u3001Adaboost\u5230\u968f\u673a\u68ee\u6797\u3001Deep Learning.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.idsia.ch\/%7Ejuergen\/DeepLearning15May2014.pdf\">\u300aDeep Learning in Neural Networks: An Overview\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u745e\u58eb\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4Jurgen Schmidhuber\u5199\u7684\u6700\u65b0\u7248\u672c\u300a\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7efc\u8ff0\u300b\u672c\u7efc\u8ff0\u7684\u7279\u70b9\u662f\u4ee5\u65f6\u95f4\u6392\u5e8f\uff0c\u4ece1940\u5e74\u5f00\u59cb\u8bb2\u8d77\uff0c\u523060-80\u5e74\u4ee3\uff0c80-90\u5e74\u4ee3\uff0c\u4e00 \u76f4\u8bb2\u52302000\u5e74\u540e\u53ca\u6700\u8fd1\u51e0\u5e74\u7684\u8fdb\u5c55\u3002\u6db5\u76d6\u4e86deep learning\u91cc\u5404\u79cdtricks\uff0c\u5f15\u7528\u975e\u5e38\u5168\u9762.<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/a-gentle-introduction-to-scikit-learn-a-python-machine-learning-library\/\">\u300aA Gentle Introduction to Scikit-Learn: A Python Machine Learning Library\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u4efdpython\u673a\u5668\u5b66\u4e60\u5e93,\u5982\u679c\u60a8\u662f\u4e00\u4f4dpython\u5de5\u7a0b\u5e08\u800c\u4e14\u60f3\u6df1\u5165\u7684\u5b66\u4e60\u673a\u5668\u5b66\u4e60.\u90a3\u4e48\u8fd9\u7bc7\u6587\u7ae0\u6216\u8bb8\u80fd\u591f\u5e2e\u52a9\u5230\u4f60.<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/how-to-layout-and-manage-your-machine-learning-project\/\">\u300aHow to Layout and Manage Your Machine Learning Project\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u4e00\u7bc7\u4ecb\u7ecd\u5982\u679c\u8bbe\u8ba1\u548c\u7ba1\u7406\u5c5e\u4e8e\u4f60\u81ea\u5df1\u7684\u673a\u5668\u5b66\u4e60\u9879\u76ee\u7684\u6587\u7ae0\uff0c\u91cc\u9762\u63d0\u4f9b\u4e86\u7ba1\u7406\u6a21\u7248\u3001\u6570\u636e\u7ba1\u7406\u4e0e\u5b9e\u8df5\u65b9\u6cd5.<\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/code-poet\/80ea3ec3c471\">\u300aMachine Learning is Fun!\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5982\u679c\u4f60\u8fd8\u4e0d\u77e5\u9053\u4ec0\u4e48\u662f\u673a\u5668\u5b66\u4e60\uff0c\u6216\u5219\u662f\u521a\u521a\u5b66\u4e60\u611f\u89c9\u5230\u5f88\u67af\u71e5\u4e4f\u5473\u3002\u90a3\u4e48\u63a8\u8350\u4e00\u8bfb\u3002\u8fd9\u7bc7\u6587\u7ae0\u5df2\u7ecf\u88ab\u7ffb\u8bd1\u6210\u4e2d\u6587,\u5982\u679c\u6709\u5174\u8da3\u53ef\u4ee5\u79fb\u6b65<a href=\"http:\/\/blog.jobbole.com\/67616\/\">http:\/\/blog.jobbole.com\/67616\/<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/cran.r-project.org\/doc\/contrib\/Liu-R-refcard.pdf\">\u300aR\u8bed\u8a00\u53c2\u8003\u5361\u7247\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R\u8bed\u8a00\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e3b\u8981\u8bed\u8a00,\u6709\u5f88\u591a\u7684\u670b\u53cb\u60f3\u5b66\u4e60R\u8bed\u8a00\uff0c\u4f46\u662f\u603b\u662f\u5fd8\u8bb0\u4e00\u4e9b\u51fd\u6570\u4e0e\u5173\u952e\u5b57\u7684\u542b\u4e49\u3002\u90a3\u4e48\u8fd9\u7bc7\u6587\u7ae0\u6216\u8bb8\u80fd\u591f\u5e2e\u52a9\u5230\u4f60<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.echen.me\/2011\/04\/27\/choosing-a-machine-learning-classifier\/\">\u300aChoosing a Machine Learning Classifier\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6211\u8be5\u5982\u4f55\u9009\u62e9\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u8fd9\u7bc7\u6587\u7ae0\u6bd4\u8f83\u76f4\u89c2\u7684\u6bd4\u8f83\u4e86Naive Bayes\uff0cLogistic Regression\uff0cSVM\uff0c\u51b3\u7b56\u6811\u7b49\u65b9\u6cd5\u7684\u4f18\u52a3\uff0c\u53e6\u5916\u8ba8\u8bba\u4e86\u6837\u672c\u5927\u5c0f\u3001Feature\u4e0eModel\u6743\u8861\u7b49\u95ee\u9898\u3002\u6b64\u5916\u8fd8\u6709\u5df2\u7ecf\u7ffb\u8bd1\u4e86\u7684\u7248\u672c:<a href=\"http:\/\/www.52ml.net\/15063.html\">http:\/\/www.52ml.net\/15063.html<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.toptal.com\/machine-learning\/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks\">\u300aAn Introduction to Deep Learning: From Perceptrons to Deep Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u6df1\u5ea6\u5b66\u4e60\u6982\u8ff0\uff1a\u4ece\u611f\u77e5\u673a\u5230\u6df1\u5ea6\u7f51\u7edc\uff0c\u4f5c\u8005\u5bf9\u4e8e\u4f8b\u5b50\u7684\u9009\u62e9\u3001\u7406\u8bba\u7684\u4ecb\u7ecd\u90fd\u5f88\u5230\u4f4d\uff0c\u7531\u6d45\u5165\u6df1\u3002\u7ffb\u8bd1\u7248\u672c\uff1a<a href=\"http:\/\/www.cnblogs.com\/xiaowanyer\/p\/3701944.html\">http:\/\/www.cnblogs.com\/xiaowanyer\/p\/3701944.html<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2vxyKl\">\u300aThe LION Way: Machine Learning plus Intelligent Optimization\u300b<\/a>\n<p>\u4ecb\u7ecd:&lt;\u673a\u5668\u5b66\u4e60\u4e0e\u4f18\u5316&gt;\u8fd9\u662f\u4e00\u672c\u673a\u5668\u5b66\u4e60\u7684\u5c0f\u518c\u5b50, \u77ed\u77ed300\u591a\u9875\u9053\u5c3d\u673a\u5668\u5b66\u4e60\u7684\u65b9\u65b9\u9762\u9762. \u56fe\u6587\u5e76\u8302, \u751f\u52a8\u6613\u61c2, \u6ca1\u6709\u4e00\u5768\u5768\u516c\u5f0f\u7684\u70e6\u607c. \u9002\u5408\u65b0\u624b\u5165\u95e8\u6253\u57fa\u7840, \u4e5f\u9002\u5408\u8001\u624b\u6e29\u6545\u800c\u77e5\u65b0. \u6bd4\u8d77MLAPP\/PRML\u7b49\u5927\u90e8\u5934, \u4e5f\u8bb8\u8fd9\u672c\u4f60\u66f4\u9700\u8981!\u5177\u4f53\u5185\u5bb9\u63a8\u8350\u9605\u8bfb:<a href=\"http:\/\/intelligent-optimization.org\/LIONbook\/\">http:\/\/intelligent-optimization.org\/LIONbook\/<\/a><\/li>\n<li><a href=\"http:\/\/php-52cs.rhcloud.com\/?cat=7\">\u300a\u6df1\u5ea6\u5b66\u4e60\u4e0e\u7edf\u8ba1\u5b66\u4e60\u7406\u8bba\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f5c\u8005\u662f\u6765\u81ea\u767e\u5ea6\uff0c\u4e0d\u8fc7\u4ed6\u672c\u4eba\u5df2\u7ecf\u57282014\u5e744\u6708\u4efd\u7533\u8bf7\u79bb\u804c\u4e86\u3002\u4f46\u662f\u8fd9\u7bc7\u6587\u7ae0\u5f88\u4e0d\u9519\u5982\u679c\u4f60\u4e0d\u77e5\u9053\u6df1\u5ea6\u5b66\u4e60\u4e0e\u652f\u6301\u5411\u91cf\u673a\/\u7edf\u8ba1\u5b66\u4e60\u7406\u8bba\u6709\u4ec0\u4e48\u8054\u7cfb\uff1f\u90a3\u4e48\u5e94\u8be5\u7acb\u5373\u770b\u770b\u8fd9\u7bc7\u6587\u7ae0.<\/p>\n<ul>\n<li><a href=\"http:\/\/ocw.mit.edu\/courses\/electrical-engineering-and-computer-science\/6-042j-mathematics-for-computer-science-fall-2010\/readings\/MIT6_042JF10_notes.pdf\">\u300a\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\u7684\u6570\u5b66\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u672c\u4e66\u662f\u7531\u8c37\u6b4c\u516c\u53f8\u548cMIT\u5171\u540c\u51fa\u54c1\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\u7684\u6570\u5b66\uff1a<a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/Mathematics%20for%20Computer%20Science\">Mathematics for Computer Science<\/a>\uff0cEric Lehman et al 2013 \u3002\u5206\u4e3a5\u5927\u90e8\u5206\uff1a1\uff09\u8bc1\u660e\uff0c\u5f52\u7eb3\u30022\uff09\u7ed3\u6784\uff0c\u6570\u8bba\uff0c\u56fe\u30023\uff09\u8ba1\u6570\uff0c\u6c42\u548c\uff0c\u751f\u6210\u51fd\u6570\u30024\uff09\u6982\u7387\uff0c\u968f\u673a\u884c\u8d70\u30025\uff09\u9012\u5f52\u3002\u7b49\u7b49<\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/en-US\/people\/kannan\/book-no-solutions-aug-21-2014.pdf\">\u300a\u4fe1\u606f\u65f6\u4ee3\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u7406\u8bba(Foundations of Data Science)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4fe1\u606f\u65f6\u4ee3\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u7406\u8bba,\u76ee\u524d\u56fd\u5185\u6709\u7eb8\u8d28\u4e66\u8d2d\u4e70\uff0c<a href=\"https:\/\/itunes.apple.com\/us\/book\/introduction-to-data-science\/id529088127\">iTunes\u8d2d\u4e70<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2vx5qg\">\u300aData Science with R\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u672c\u7531\u96ea\u57ce\u5927\u5b66\u65b0\u7f16\u7684\u7b2c\u4e8c\u7248\u300a\u6570\u636e\u79d1\u5b66\u5165\u95e8\u300b\u6559\u6750\uff1a\u504f\u5b9e\u7528\u578b\uff0c\u6d45\u663e\u6613\u61c2\uff0c\u9002\u5408\u60f3\u5b66\u4e60R\u8bed\u8a00\u7684\u540c\u5b66\u9009\u8bfb\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.informit.com\/articles\/article.aspx?p=2213858\">\u300aTwenty Questions for Donald Knuth\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u5e76\u4e0d\u662f\u4e00\u7bc7\u6587\u6863\u6216\u4e66\u7c4d\u3002\u8fd9\u662f\u7bc7\u5411\u56fe\u7075\u5956\u5f97\u4e3bDonald Knuth\u63d0\u95ee\u8bb0\u5f55\u7a3f\uff1a \u8fd1\u65e5\uff0c Charles Leiserson, Al Aho, Jon Bentley\u7b49\u5927\u795e\u5411Knuth\u63d0\u51fa\u4e8620\u4e2a\u95ee\u9898\uff0c\u5185\u5bb9\u5305\u62ecTAOCP\uff0cP\/NP\u95ee\u9898\uff0c\u56fe\u7075\u673a\uff0c\u903b\u8f91\uff0c\u4ee5\u53ca\u4e3a\u4ec0\u4e48\u5927\u795e\u4e0d\u7528\u7535\u90ae\u7b49\u7b49\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1402.4304v2.pdf\">\u300aAutomatic Construction and Natural-Language Description of Nonparametric Regression Models\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4e0d\u4f1a\u7edf\u8ba1\u600e\u4e48\u529e\uff1f\u4e0d\u77e5\u9053\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u7edf\u8ba1\u6a21\u578b\u600e\u4e48\u529e\uff1f\u90a3\u8fd9\u7bc7\u6587\u7ae0\u4f60\u7684\u597d\u597d\u8bfb\u4e00\u8bfb\u4e86\u9ebb\u7701\u7406\u5de5Joshua B. Tenenbaum\u548c\u5251\u6865Zoubin Ghahramani\u5408\u4f5c\uff0c\u5199\u4e86\u4e00\u7bc7\u5173\u4e8eautomatic statistician\u7684\u6587\u7ae0\u3002\u53ef\u4ee5\u81ea\u52a8\u9009\u62e9\u56de\u5f52\u6a21\u578b\u7c7b\u522b\uff0c\u8fd8\u80fd\u81ea\u52a8\u5199\u62a5\u544a&#8230;<\/p>\n<ul>\n<li><a href=\"http:\/\/openreview.net\/venue\/iclr2014\">\u300aICLR 2014\u8bba\u6587\u96c6\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5bf9\u6df1\u5ea6\u5b66\u4e60\u548crepresentation learning\u6700\u65b0\u8fdb\u5c55\u6709\u5174\u8da3\u7684\u540c\u5b66\u53ef\u4ee5\u4e86\u89e3\u4e00\u4e0b<\/p>\n<ul>\n<li><a href=\"http:\/\/www-nlp.stanford.edu\/IR-book\/\">\u300aIntroduction to Information Retrieval\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u662f\u4e00\u672c\u4fe1\u606f\u68c0\u7d22\u76f8\u5173\u7684\u4e66\u7c4d\uff0c\u662f\u7531\u65af\u5766\u798fManning\u4e0e\u8c37\u6b4c\u526f\u603b\u88c1Raghavan\u7b49\u5408\u8457\u7684Introduction to Information Retrieval\u4e00\u76f4\u662f\u5317\u7f8e\u6700\u53d7\u6b22\u8fce\u7684\u4fe1\u606f\u68c0\u7d22\u6559\u6750\u4e4b\u4e00\u3002\u6700\u8fd1\u4f5c\u8005\u589e\u52a0\u4e86\u8be5\u8bfe\u7a0b\u7684\u5e7b\u706f\u7247\u548c\u4f5c\u4e1a\u3002IR\u76f8\u5173\u8d44\u6e90\uff1a<a href=\"http:\/\/www-nlp.stanford.edu\/IR-book\/information-retrieval.html\">http:\/\/www-nlp.stanford.edu\/IR-book\/information-retrieval.html<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.denizyuret.com\/2014\/02\/machine-learning-in-5-pictures.html\">\u300aMachine learning in 10 pictures\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Deniz Yuret\u752810\u5f20\u6f02\u4eae\u7684\u56fe\u6765\u89e3\u91ca\u673a\u5668\u5b66\u4e60\u91cd\u8981\u6982\u5ff5\uff1a1. Bias\/Variance Tradeoff 2. Overfitting 3. Bayesian \/ Occam&#8217;s razor 4. Feature combination 5. Irrelevant feature 6. Basis function 7. Discriminative \/ Generative 8. Loss function 9. Least squares 10. Sparsity.\u5f88\u6e05\u6670<\/p>\n<ul>\n<li><a href=\"http:\/\/webscope.sandbox.yahoo.com\/catalog.php?datatype=l\">\u300a\u96c5\u864e\u7814\u7a76\u9662\u7684\u6570\u636e\u96c6\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u96c5\u864e\u7814\u7a76\u9662\u7684\u6570\u636e\u96c6\u6c47\u603b\uff1a \u5305\u62ec\u8bed\u8a00\u7c7b\u6570\u636e\uff0c\u56fe\u4e0e\u793e\u4ea4\u7c7b\u6570\u636e\uff0c\u8bc4\u5206\u4e0e\u5206\u7c7b\u6570\u636e\uff0c\u8ba1\u7b97\u5e7f\u544a\u5b66\u6570\u636e\uff0c\u56fe\u50cf\u6570\u636e\uff0c\u7ade\u8d5b\u6570\u636e\uff0c\u4ee5\u53ca\u7cfb\u7edf\u7c7b\u7684\u6570\u636e\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www-bcf.usc.edu\/%7Egareth\/ISL\/\">\u300aAn Introduction to Statistical Learning with Applications in R\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u662f\u4e00\u672c\u65af\u5766\u798f\u7edf\u8ba1\u5b66\u8457\u540d\u6559\u6388Trevor Hastie\u548cRobert Tibshirani\u7684\u65b0\u4e66\uff0c\u5e76\u4e14\u57282014\u5e74\u4e00\u6708\u5df2\u7ecf\u5f00\u8bfe\uff1a<a href=\"https:\/\/class.stanford.edu\/courses\/HumanitiesScience\/StatLearning\/Winter2014\/about\">https:\/\/class.stanford.edu\/courses\/HumanitiesScience\/StatLearning\/Winter2014\/about<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/best-machine-learning-resources-for-getting-started\/\">Best Machine Learning Resources for Getting Started<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u673a\u5668\u5b66\u4e60\u6700\u4f73\u5165\u95e8\u5b66\u4e60\u8d44\u6599\u6c47\u603b\u662f\u4e13\u4e3a\u673a\u5668\u5b66\u4e60\u521d\u5b66\u8005\u63a8\u8350\u7684\u4f18\u8d28\u5b66\u4e60\u8d44\u6e90\uff0c\u5e2e\u52a9\u521d\u5b66\u8005\u5feb\u901f\u5165\u95e8\u3002\u800c\u4e14\u8fd9\u7bc7\u6587\u7ae0\u7684\u4ecb\u7ecd\u5df2\u7ecf\u88ab\u7ffb\u8bd1\u6210<a href=\"http:\/\/article.yeeyan.org\/view\/22139\/410514\">\u4e2d\u6587\u7248<\/a>\u3002\u5982\u679c\u4f60\u4e0d\u600e\u4e48\u719f\u6089\uff0c\u90a3\u4e48\u6211\u5efa\u8bae\u4f60\u5148\u770b\u4e00\u770b\u4e2d\u6587\u7684\u4ecb\u7ecd\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.sina.com.cn\/s\/blog_bda0d2f10101fpp4.html\">My deep learning reading list<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e3b\u8981\u662f\u987a\u7740Bengio\u7684PAMI review\u7684\u6587\u7ae0\u627e\u51fa\u6765\u7684\u3002\u5305\u62ec\u51e0\u672c\u7efc\u8ff0\u6587\u7ae0\uff0c\u5c06\u8fd1100\u7bc7\u8bba\u6587\uff0c\u5404\u4f4d\u5c71\u5934\u4eec\u7684Presentation\u3002\u5168\u90e8\u90fd\u53ef\u4ee5\u5728google\u4e0a\u627e\u5230\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00266ED1V01Y201005HLT008?journalCode=hlt\">Cross-Language Information Retrieval<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u662f\u4e00\u672c\u4e66\u7c4d\uff0c\u4e3b\u8981\u4ecb\u7ecd\u7684\u662f\u8de8\u8bed\u8a00\u4fe1\u606f\u68c0\u7d22\u65b9\u9762\u7684\u77e5\u8bc6\u3002\u7406\u8bba\u5f88\u591a<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ibm.com\/developerworks\/cn\/web\/1103_zhaoct_recommstudy1\/index.html?ca=drs-\">\u63a2\u7d22\u63a8\u8350\u5f15\u64ce\u5185\u90e8\u7684\u79d8\u5bc6\uff0c\u7b2c 1 \u90e8\u5206: \u63a8\u8350\u5f15\u64ce\u521d\u63a2<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u672c\u6587\u5171\u6709\u4e09\u4e2a\u7cfb\u5217\uff0c\u4f5c\u8005\u662f\u6765\u81eaIBM\u7684\u5de5\u7a0b\u5e08\u3002\u5b83\u4e3b\u8981\u4ecb\u7ecd\u4e86\u63a8\u8350\u5f15\u64ce\u76f8\u5173\u7b97\u6cd5\uff0c\u5e76\u5e2e\u52a9\u8bfb\u8005\u9ad8\u6548\u7684\u5b9e\u73b0\u8fd9\u4e9b\u7b97\u6cd5\u3002 <a href=\"http:\/\/www.ibm.com\/developerworks\/cn\/web\/1103_zhaoct_recommstudy2\/index.html?ca=drs-\">\u63a2\u7d22\u63a8\u8350\u5f15\u64ce\u5185\u90e8\u7684\u79d8\u5bc6\uff0c\u7b2c 2 \u90e8\u5206: \u6df1\u5ea6\u63a8\u8350\u5f15\u64ce\u76f8\u5173\u7b97\u6cd5 &#8211; \u534f\u540c\u8fc7\u6ee4<\/a>,<a href=\"http:\/\/www.ibm.com\/developerworks\/cn\/web\/1103_zhaoct_recommstudy3\/index.html?ca=drs-\">\u63a2\u7d22\u63a8\u8350\u5f15\u64ce\u5185\u90e8\u7684\u79d8\u5bc6\uff0c\u7b2c 3 \u90e8\u5206: \u6df1\u5ea6\u63a8\u8350\u5f15\u64ce\u76f8\u5173\u7b97\u6cd5 &#8211; \u805a\u7c7b<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/mimno.infosci.cornell.edu\/b\/articles\/ml-learn\/\">\u300aAdvice for students of machine learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u5eb7\u5948\u5c14\u5927\u5b66\u4fe1\u606f\u79d1\u5b66\u7cfb\u52a9\u7406\u6559\u6388David Mimno\u5199\u7684\u300a\u5bf9\u673a\u5668\u5b66\u4e60\u521d\u5b66\u8005\u7684\u4e00\u70b9\u5efa\u8bae\u300b\uff0c \u5199\u7684\u633a\u5b9e\u9645\uff0c\u5f3a\u8c03\u5b9e\u8df5\u4e0e\u7406\u8bba\u7ed3\u5408\uff0c\u6700\u540e\u8fd8\u5f15\u7528\u4e86\u51af \u2022 \u8bfa\u4f9d\u66fc\u7684\u540d\u8a00: &#8220;Young man, in mathematics you don&#8217;t understand things. You just get used to them.&#8221;<\/p>\n<ul>\n<li><a href=\"http:\/\/web.stanford.edu\/group\/pdplab\/pdphandbook\/\">\u5206\u5e03\u5f0f\u5e76\u884c\u5904\u7406\u7684\u6570\u636e<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u662f\u4e00\u672c\u5173\u4e8e\u5206\u5e03\u5f0f\u5e76\u884c\u5904\u7406\u7684\u6570\u636e\u300aExplorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises\u300b,\u4f5c\u8005\u662f\u65af\u5766\u798f\u7684James L. McClelland\u3002\u7740\u91cd\u4ecb\u7ecd\u4e86\u5404\u79cd\u795e\u7ea7\u7f51\u7edc\u7b97\u6cd5\u7684\u5206\u5e03\u5f0f\u5b9e\u73b0,\u505aDistributed Deep Learning \u7684\u7ae5\u978b\u53ef\u4ee5\u53c2\u8003\u4e0b<\/p>\n<ul>\n<li><a href=\"http:\/\/blogs.technet.com\/b\/machinelearning\/archive\/2014\/07\/01\/what-is-machine-learning.aspx\">\u300a\u201c\u673a\u5668\u5b66\u4e60\u201d\u662f\u4ec0\u4e48\uff1f\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u3010\u201c\u673a\u5668\u5b66\u4e60\u201d\u662f\u4ec0\u4e48\uff1f\u3011John Platt\u662f\u5fae\u8f6f\u7814\u7a76\u9662\u6770\u51fa\u79d1\u5b66\u5bb6\uff0c17\u5e74\u6765\u4ed6\u4e00\u76f4\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\u8015\u8018\u3002\u8fd1\u5e74\u6765\u673a\u5668\u5b66\u4e60\u53d8\u5f97\u7099\u624b\u53ef\u70ed\uff0cPlatt\u548c\u540c\u4e8b\u4eec\u9042\u51b3\u5b9a\u5f00\u8bbe<a href=\"http:\/\/blogs.technet.com\/b\/machinelearning\/\">\u535a\u5ba2<\/a>\uff0c\u5411\u516c\u4f17\u4ecb\u7ecd\u673a\u5668\u5b66\u4e60\u7684\u7814\u7a76\u8fdb\u5c55\u3002\u673a\u5668\u5b66\u4e60\u662f\u4ec0\u4e48\uff0c\u88ab\u5e94\u7528\u5728\u54ea\u91cc\uff1f\u6765\u770bPlatt\u7684\u8fd9\u7bc7<a href=\"http:\/\/blogs.technet.com\/b\/machinelearning\/archive\/2014\/07\/01\/what-is-machine-learning.aspx\">\u535a\u6587<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/icml.cc\/2014\/index\/article\/15.htm\">\u300a2014\u5e74\u56fd\u9645\u673a\u5668\u5b66\u4e60\u5927\u4f1aICML 2014 \u8bba\u6587\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a2014\u5e74\u56fd\u9645\u673a\u5668\u5b66\u4e60\u5927\u4f1a\uff08ICML\uff09\u5df2\u7ecf\u4e8e6\u670821-26\u65e5\u5728\u56fd\u5bb6\u4f1a\u8bae\u4e2d\u5fc3\u9686\u91cd\u4e3e\u529e\u3002\u672c\u6b21\u5927\u4f1a\u7531\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u548c\u6e05\u534e\u5927\u5b66\u8054\u624b\u4e3b\u529e\uff0c\u662f\u8fd9 \u4e2a\u6709\u774030\u591a\u5e74\u5386\u53f2\u5e76\u4eab\u8a89\u4e16\u754c\u7684\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u76db\u4f1a\u9996\u6b21\u6765\u5230\u4e2d\u56fd\uff0c\u5df2\u6210\u529f\u5438\u5f15\u6d77\u5185\u59161200\u591a\u4f4d\u5b66\u8005\u7684\u62a5\u540d\u53c2\u4e0e\u3002\u5e72\u8d27\u5f88\u591a\uff0c\u503c\u5f97\u6df1\u5165\u5b66\u4e60\u4e0b<\/p>\n<ul>\n<li><a href=\"http:\/\/blogs.technet.com\/b\/machinelearning\/archive\/2014\/07\/11\/machine-learning-for-industry-a-case-study.aspx\">\u300aMachine Learning for Industry: A Case Study\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u7bc7\u6587\u7ae0\u4e3b\u8981\u662f\u4ee5Learning to Rank\u4e3a\u4f8b\u8bf4\u660e\u4f01\u4e1a\u754c\u673a\u5668\u5b66\u4e60\u7684\u5177\u4f53\u5e94\u7528\uff0cRankNet\u5bf9NDCG\u4e4b\u7c7b\u4e0d\u654f\u611f\uff0c\u52a0\u5165NDCG\u56e0\u7d20\u540e\u53d8\u6210\u4e86LambdaRank\uff0c\u540c\u6837\u7684\u601d\u60f3\u4ece\u795e\u7ecf\u7f51\u7edc \u6539\u4e3a\u5e94\u7528\u5230Boosted Tree\u6a21\u578b\u5c31\u6210\u5c31\u4e86LambdaMART\u3002<a href=\"http:\/\/research.microsoft.com\/en-us\/people\/cburges\/?WT.mc_id=Blog_MachLearn_General_DI\">Chirs Burges<\/a>\uff0c\u5fae\u8f6f\u7684\u673a\u5668\u5b66\u4e60\u5927\u795e\uff0cYahoo 2010 Learning to Rank Challenge\u7b2c\u4e00\u540d\u5f97\u4e3b\uff0c\u6392\u5e8f\u6a21\u578b\u65b9\u9762\u6709RankNet\uff0cLambdaRank\uff0cLambdaMART\uff0c\u5c24\u5176\u4ee5LambdaMART\u6700\u4e3a\u7a81\u51fa\uff0c\u4ee3\u8868\u8bba\u6587\u4e3a\uff1a <a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/cburges\/tech_reports\/msr-tr-2010-82.pdf\">From RankNet to LambdaRank to LambdaMART: An Overview<\/a> \u6b64\u5916\uff0cBurges\u8fd8\u6709\u5f88\u591a\u6709\u540d\u7684\u4ee3\u8868\u4f5c\uff0c\u6bd4\u5982\uff1a<a href=\"http:\/\/research.microsoft.com\/pubs\/67119\/svmtutorial.pdf\">A Tutorial on Support Vector Machines for Pattern Recognition<\/a><br \/>\n<a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/cburges\/tech_reports\/tr-2004-56.pdf\">Some Notes on Applied Mathematics for Machine Learning<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/meta-guide.com\/software-meta-guide\/100-best-github-deep-learning\/\">100 Best GitHub: Deep Learning<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:100 Best GitHub: Deep Learning<\/p>\n<ul>\n<li><a href=\"http:\/\/www.52ml.net\/12019.html\">\u300aUFLDL-\u65af\u5766\u798f\u5927\u5b66Andrew Ng\u6559\u6388\u201cDeep Learning\u201d\u6559\u7a0b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u672c\u6559\u7a0b\u5c06\u9610\u8ff0\u65e0\u76d1\u7763\u7279\u5f81\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u4e3b\u8981\u89c2\u70b9\u3002\u901a\u8fc7\u5b66\u4e60\uff0c\u4f60\u4e5f\u5c06\u5b9e\u73b0\u591a\u4e2a\u529f\u80fd\u5b66\u4e60\/\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff0c\u80fd\u770b\u5230\u5b83\u4eec\u4e3a\u4f60\u5de5\u4f5c\uff0c\u5e76\u5b66\u4e60\u5982\u4f55\u5e94\u7528 \/\u9002\u5e94\u8fd9\u4e9b\u60f3\u6cd5\u5230\u65b0\u95ee\u9898\u4e0a\u3002\u672c\u6559\u7a0b\u5047\u5b9a\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u77e5\u8bc6\uff08\u7279\u522b\u662f\u719f\u6089\u7684\u76d1\u7763\u5b66\u4e60\uff0c\u903b\u8f91\u56de\u5f52\uff0c\u68af\u5ea6\u4e0b\u964d\u7684\u60f3\u6cd5\uff09\uff0c\u5982\u679c\u4f60\u4e0d\u719f\u6089\u8fd9\u4e9b\u60f3\u6cd5\uff0c\u6211\u4eec\u5efa\u8bae\u4f60\u53bb\u8fd9\u91cc<a href=\"http:\/\/openclassroom.stanford.edu\/MainFolder\/CoursePage.php?course=MachineLearning\">\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b<\/a>\uff0c\u5e76\u5148\u5b8c\u6210\u7b2cII\uff0cIII\uff0cIV\u7ae0\uff08\u5230\u903b\u8f91\u56de\u5f52\uff09\u3002\u6b64\u5916\u8fd9\u5173\u4e8e\u8fd9\u5957\u6559\u7a0b\u7684\u6e90\u4ee3\u7801\u5728github\u4e0a\u9762\u5df2\u7ecf\u6709python\u7248\u672c\u4e86<a href=\"https:\/\/github.com\/jatinshah\/ufldl_tutorial\"> UFLDL Tutorial Code<\/a><\/p>\n<p>*<a href=\"http:\/\/research.microsoft.com\/pubs\/217165\/ICASSP_DeepTextLearning_v07.pdf\">\u300aDeep Learning for Natural Language Processing and Related Applications\u300b<\/a><\/p>\n<p>\u4ecb\u7ecd:\u8fd9\u4efd\u6587\u6863\u6765\u81ea\u5fae\u8f6f\u7814\u7a76\u9662,\u7cbe\u9ad3\u5f88\u591a\u3002\u5982\u679c\u9700\u8981\u5b8c\u5168\u7406\u89e3\uff0c\u9700\u8981\u4e00\u5b9a\u7684\u673a\u5668\u5b66\u4e60\u57fa\u7840\u3002\u4e0d\u8fc7\u6709\u4e9b\u5730\u65b9\u4f1a\u8ba9\u4eba\u773c\u524d\u4e00\u4eae,\u6bdb\u585e\u987f\u5f00\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/colah.github.io\/posts\/2014-07-Understanding-Convolutions\/\">Understanding Convolutions<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u7bc7\u4ecb\u7ecd\u56fe\u50cf\u5377\u79ef\u8fd0\u7b97\u7684\u6587\u7ae0\uff0c\u8bb2\u7684\u5df2\u7ecf\u7b97\u6bd4\u8f83\u8be6\u7ec6\u7684\u4e86<\/p>\n<ul>\n<li><a href=\"http:\/\/mlss2014.com\/\">\u300aMachine Learning Summer School\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u6bcf\u5929\u8bf7\u4e00\u4e2a\u5927\u725b\u6765\u8bb2\u5ea7\uff0c\u4e3b\u8981\u6d89\u53ca\u673a\u5668\u5b66\u4e60\uff0c\u5927\u6570\u636e\u5206\u6790\uff0c\u5e76\u884c\u8ba1\u7b97\u4ee5\u53ca\u4eba\u8111\u7814\u7a76\u3002<a href=\"https:\/\/www.youtube.com\/user\/smolix\">https:\/\/www.youtube.com\/user\/smolix<\/a> \uff08\u9700\u7ffb\u5899\uff09<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/josephmisiti\/awesome-machine-learning\">\u300aAwesome Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4e00\u4e2a\u8d85\u7ea7\u5b8c\u6574\u7684\u673a\u5668\u5b66\u4e60\u5f00\u6e90\u5e93\u603b\u7ed3\uff0c\u5982\u679c\u4f60\u8ba4\u4e3a\u8fd9\u4e2a\u7889\u5821\u4e86\uff0c\u90a3\u540e\u9762\u8fd9\u4e2a\u5217\u8868\u4f1a\u66f4\u8ba9\u4f60\u60ca\u8bb6\uff1a\u3010Awesome Awesomeness\u3011,\u56fd\u5185\u5df2\u7ecf\u6709\u70ed\u5fc3\u7684\u670b\u53cb\u8fdb\u884c\u4e86\u7ffb\u8bd1<a href=\"http:\/\/blog.jobbole.com\/73806\/\">\u4e2d\u6587\u4ecb\u7ecd<\/a>\uff0c<a href=\"https:\/\/github.com\/josephmisiti\/awesome-machine-learning\/blob\/master\/books.md\">\u673a\u5668\u5b66\u4e60\u6570\u636e\u6316\u6398\u514d\u8d39\u7535\u5b50\u4e66<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/cs224d.stanford.edu\/syllabus.html\">\u65af\u5766\u798f\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u300b\u8bfe\u7a0b\u89c6\u9891<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:ACL\u5019\u4efb\u4e3b\u5e2d\u3001\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u7cfbChris Manning\u6559\u6388\u7684\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u300b\u8bfe\u7a0b\u6240\u6709\u89c6\u9891\u5df2\u7ecf\u53ef\u4ee5\u5728\u65af\u5766\u798f\u516c\u5f00\u8bfe\u7f51\u7ad9\u4e0a\u89c2\u770b\u4e86\uff08\u5982Chrome\u4e0d\u884c\uff0c\u53ef\u7528IE\u89c2\u770b\uff09 \u4f5c\u4e1a\u4e0e\u6d4b\u9a8c\u4e5f\u53ef\u4ee5\u4e0b\u8f7d\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/freemind.pluskid.org\/machine-learning\/deep-learning-and-shallow-learning\/\">\u300aDeep Learning and Shallow Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5bf9\u6bd4 Deep Learning \u548c Shallow Learning \u7684\u597d\u6587\uff0c\u6765\u7740\u6d59\u5927\u6bd5\u4e1a\u3001MIT \u8bfb\u535a\u7684 Chiyuan Zhang \u7684\u535a\u5ba2\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/benanne.github.io\/2014\/08\/05\/spotify-cnns.html\">\u300aRecommending music on Spotify with deep learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5229\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u505a\u97f3\u4e50\u63a8\u8350\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/neuralnetworksanddeeplearning.com\/index.html\">\u300aNeural Networks and Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u795e\u7ecf\u7f51\u7edc\u7684\u514d\u8d39\u5728\u7ebf\u4e66\uff0c\u5df2\u7ecf\u5199\u4e86\u4e09\u7ae0\u4e86\uff0c\u8fd8\u6709\u5bf9\u5e94\u7684\u5f00\u6e90\u4ee3\u7801\uff1a<a href=\"https:\/\/github.com\/mnielsen\/neural-networks-and-deep-learning\">https:\/\/github.com\/mnielsen\/neural-networks-and-deep-learning<\/a> \u7231\u597d\u8005\u7684\u798f\u97f3\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/java-machine-learning\/\">\u300aJava Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aJava\u673a\u5668\u5b66\u4e60\u76f8\u5173\u5e73\u53f0\u548c\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u6309\u7167\u5927\u6570\u636e\u3001NLP\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u548cDeep Learning\u5206\u7c7b\u8fdb\u884c\u4e86\u6574\u7406\u3002\u770b\u8d77\u6765\u633a\u5168\u7684\uff0cJava\u7231\u597d\u8005\u503c\u5f97\u6536\u85cf\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.oschina.net\/translate\/6-tips-for-writing-better-code\">\u300aMachine Learning Theory: An Introductory Primer\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u673a\u5668\u5b66\u4e60\u6700\u57fa\u672c\u7684\u5165\u95e8\u6587\u7ae0\uff0c\u9002\u5408\u96f6\u57fa\u7840\u8005<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ctocio.com\/hotnews\/15919.html\">\u300a\u673a\u5668\u5b66\u4e60\u5e38\u89c1\u7b97\u6cd5\u5206\u7c7b\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u673a\u5668\u5b66\u4e60\u7684\u7b97\u6cd5\u5f88\u591a\u3002\u5f88\u591a\u65f6\u5019\u56f0\u60d1\u4eba\u4eec\u90fd\u662f\uff0c\u5f88\u591a\u7b97\u6cd5\u662f\u4e00\u7c7b\u7b97\u6cd5\uff0c\u800c\u6709\u4e9b\u7b97\u6cd5\u53c8\u662f\u4ece\u5176\u4ed6\u7b97\u6cd5\u4e2d\u5ef6\u4f38\u51fa\u6765\u7684\u3002\u8fd9\u91cc\uff0c\u6211\u4eec\u4ece\u4e24\u4e2a\u65b9\u9762\u6765\u7ed9\u5927\u5bb6\u4ecb\u7ecd\uff0c\u7b2c\u4e00\u4e2a\u65b9\u9762\u662f\u5b66\u4e60\u7684\u65b9\u5f0f\uff0c\u7b2c\u4e8c\u4e2a\u65b9\u9762\u662f\u7b97\u6cd5\u7684\u7c7b\u4f3c\u6027\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/suanfazu.com\/discussion\/68\/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%BB%8F%E5%85%B8%E8%AE%BA%E6%96%87survey%E5%90%88%E9%9B%86\">\u300a\u673a\u5668\u5b66\u4e60\u7ecf\u5178\u8bba\u6587\/survey\u5408\u96c6\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u770b\u9898\u76ee\u4f60\u5df2\u7ecf\u77e5\u9053\u4e86\u662f\u4ec0\u4e48\u5185\u5bb9,\u6ca1\u9519\u3002\u91cc\u9762\u6709\u5f88\u591a\u7ecf\u5178\u7684\u673a\u5668\u5b66\u4e60\u8bba\u6587\u503c\u5f97\u4ed4\u7ec6\u4e0e\u53cd\u590d\u7684\u9605\u8bfb\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/work.caltech.edu\/library\/\">\u300a\u673a\u5668\u5b66\u4e60\u89c6\u9891\u5e93\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u89c6\u9891\u7531\u52a0\u5dde\u7406\u5de5\u5b66\u9662\uff08Caltech\uff09\u51fa\u54c1\u3002\u9700\u8981\u82f1\u8bed\u5e95\u5b50\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/suanfazu.com\/discussion\/109\/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%BB%8F%E5%85%B8%E4%B9%A6%E7%B1%8D\">\u300a\u673a\u5668\u5b66\u4e60\u7ecf\u5178\u4e66\u7c4d\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u603b\u7ed3\u4e86\u673a\u5668\u5b66\u4e60\u7684\u7ecf\u5178\u4e66\u7c4d\uff0c\u5305\u62ec\u6570\u5b66\u57fa\u7840\u548c\u7b97\u6cd5\u7406\u8bba\u7684\u4e66\u7c4d\uff0c\u53ef\u505a\u4e3a\u5165\u95e8\u53c2\u8003\u4e66\u5355\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/efytimes.com\/e1\/fullnews.asp?edid=121516\">\u300a16 Free eBooks On Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:16\u672c\u673a\u5668\u5b66\u4e60\u7684\u7535\u5b50\u4e66\uff0c\u53ef\u4ee5\u4e0b\u8f7d\u4e0b\u6765\u5728pad\uff0c\u624b\u673a\u4e0a\u9762\u4efb\u610f\u65f6\u523b\u53bb\u9605\u8bfb\u3002\u4e0d\u591a\u6211\u5efa\u8bae\u4f60\u770b\u5b8c\u4e00\u672c\u518d\u4e0b\u8f7d\u4e00\u672c\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.erogol.com\/large-set-machine-learning-resources-beginners-mavens\/\">\u300aA Large set of Machine Learning Resources for Beginners to Mavens\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6807\u9898\u5f88\u5927\uff0c\u4ece\u65b0\u624b\u5230\u4e13\u5bb6\u3002\u4e0d\u8fc7\u770b\u5b8c\u4e0a\u9762\u6240\u6709\u8d44\u6599\u3002\u80af\u5b9a\u662f\u4e13\u5bb6\u4e86<\/p>\n<ul>\n<li><a href=\"http:\/\/article.yeeyan.org\/view\/22139\/410514\">\u300a\u673a\u5668\u5b66\u4e60\u6700\u4f73\u5165\u95e8\u5b66\u4e60\u8d44\u6599\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u5165\u95e8\u7684\u4e66\u771f\u7684\u5f88\u591a\uff0c\u800c\u4e14\u6211\u5df2\u7ecf\u5e2e\u4f60\u627e\u9f50\u4e86\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/users.soe.ucsc.edu\/%7Eniejiazhong\/slides\/chandra.pdf\">\u300aSibyl\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aSibyl \u662f\u4e00\u4e2a\u76d1\u7763\u5f0f\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\uff0c\u7528\u6765\u89e3\u51b3\u9884\u6d4b\u65b9\u9762\u7684\u95ee\u9898\uff0c\u6bd4\u5982 YouTube \u7684\u89c6\u9891\u63a8\u8350\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.slideshare.net\/ssuser9cc1bd\/piji-li-dltm\">\u300aNeural Network &amp; Text Mining\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5173\u4e8e(Deep) Neural Networks\u5728 NLP \u548c Text Mining \u65b9\u9762\u4e00\u4e9bpaper\u7684\u603b\u7ed3<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cnblogs.com\/lxy2017\/p\/3927226.html\">\u300a\u524d\u666f\u76ee\u6807\u68c0\u6d4b1\uff08\u603b\u7ed3\uff09\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8ba1\u7b97\u673a\u89c6\u89c9\u5165\u95e8\u4e4b\u524d\u666f\u76ee\u6807\u68c0\u6d4b1\uff08\u603b\u7ed3\uff09<\/p>\n<ul>\n<li><a href=\"http:\/\/www.52ml.net\/17004.html\">\u300a\u884c\u4eba\u68c0\u6d4b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8ba1\u7b97\u673a\u89c6\u89c9\u5165\u95e8\u4e4b\u884c\u4eba\u68c0\u6d4b<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdnuggets.com\/2014\/08\/deep-learning-important-resources-learning-understanding.html\">\u300aDeep Learning \u2013 important resources for learning and understanding\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Important resources for learning and understanding . Is awesome<\/p>\n<ul>\n<li><a href=\"http:\/\/www.toptal.com\/machine-learning\/machine-learning-theory-an-introductory-primer\">\u300aMachine Learning Theory: An Introductory Primer\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u53c8\u662f\u4e00\u7bc7\u673a\u5668\u5b66\u4e60\u521d\u5b66\u8005\u7684\u5165\u95e8\u6587\u7ae0\u3002\u503c\u5f97\u4e00\u8bfb<\/p>\n<ul>\n<li><a href=\"http:\/\/neuralnetworksanddeeplearning.com\/\">\u300aNeural Networks and Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5728\u7ebfNeural Networks and Deep Learning\u7535\u5b50\u4e66<\/p>\n<ul>\n<li><a href=\"http:\/\/www.52nlp.cn\/python-%E7%BD%91%E9%A1%B5%E7%88%AC%E8%99%AB-%E6%96%87%E6%9C%AC%E5%A4%84%E7%90%86-%E7%A7%91%E5%AD%A6%E8%AE%A1%E7%AE%97-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98\">\u300aPython \u7f51\u9875\u722c\u866b &amp; \u6587\u672c\u5904\u7406 &amp; \u79d1\u5b66\u8ba1\u7b97 &amp; \u673a\u5668\u5b66\u4e60 &amp; \u6570\u636e\u6316\u6398\u5175\u5668\u8c31\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:python\u768417\u4e2a\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u5de5\u5177<\/p>\n<ul>\n<li><a href=\"http:\/\/www.flickering.cn\/%E6%A6%82%E7%8E%87%E7%BB%9F%E8%AE%A1\/2014\/06\/%E7%A5%9E%E5%A5%87%E7%9A%84%E4%BC%BD%E7%8E%9B%E5%87%BD%E6%95%B0%E4%B8%8A\/\">\u300a\u795e\u5947\u7684\u4f3d\u739b\u51fd\u6570(\u4e0a)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e0b\u96c6\u5728\u8fd9\u91cc<a href=\"http:\/\/www.flickering.cn\/%E6%A6%82%E7%8E%87%E7%BB%9F%E8%AE%A1\/2014\/06\/%E7%A5%9E%E5%A5%87%E7%9A%84%E4%BC%BD%E7%8E%9B%E5%87%BD%E6%95%B0%E4%B8%8A\/\">\u795e\u5947\u7684\u4f3d\u739b\u51fd\u6570(\u4e0b)<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/cxwangyi.github.io\/notes\/2014-01-20-distributed-machine-learning.html\">\u300a\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u7684\u6545\u4e8b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f5c\u8005\u738b\u76ca\u76ee\u524d\u662f\u817e\u8baf\u5e7f\u544a\u7b97\u6cd5\u603b\u76d1\uff0c\u738b\u76ca\u535a\u58eb\u6bd5\u4e1a\u540e\u5728google\u4efb\u7814\u7a76\u3002\u8fd9\u7bc7\u6587\u7ae0\u738b\u76ca\u535a\u58eb7\u5e74\u6765\u4ece\u8c37\u6b4c\u5230\u817e\u8baf\u5bf9\u4e8e\u5206\u5e03\u673a\u5668\u5b66\u4e60\u7684\u6240\u89c1\u6240\u95fb\u3002\u503c\u5f97\u7ec6\u8bfb<\/p>\n<ul>\n<li><a href=\"http:\/\/metacademy.org\/roadmaps\/cjrd\/level-up-your-ml\">\u300a\u673a\u5668\u5b66\u4e60\u63d0\u5347\u4e4b\u9053\uff08Level-Up Your Machine Learning\uff09\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u628a\u673a\u5668\u5b66\u4e60\u63d0\u5347\u7684\u7ea7\u522b\u5206\u4e3a0~4\u7ea7\uff0c\u6bcf\u7ea7\u9700\u8981\u5b66\u4e60\u7684\u6559\u6750\u548c\u638c\u63e1\u7684\u77e5\u8bc6\u3002\u8fd9\u6837\uff0c\u7ed9\u673a\u5668\u5b66\u4e60\u8005\u63d0\u4f9b\u4e00\u4e2a\u4e0a\u8fdb\u7684\u8def\u7ebf\u56fe\uff0c\u4ee5\u514d\u8d70\u5f2f\u8def\u3002\u53e6\u5916\uff0c\u6574\u4e2a\u7f51\u7ad9\u90fd\u662f\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u7684\uff0c\u8d44\u6e90\u5f88\u4e30\u5bcc\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.mlsurveys.com\/\">\u300aMachine Learning Surveys\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5404\u4e2a\u65b9\u5411\u7efc\u8ff0\u7684\u7f51\u7ad9<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning.net\/reading-list\/\">\u300aDeep Learning Reading list\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u9605\u8d44\u6e90\u5217\u8868<\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/pubs\/219984\/DeepLearningBook_RefsByLastFirstNames.pdf\">\u300aDeep Learning: Methods and Applications\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u662f\u4e00\u672c\u6765\u81ea\u5fae\u7684\u7814\u7a76\u5458 li Peng\u548cDong Yu\u6240\u8457\u7684\u5173\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u65b9\u6cd5\u548c\u5e94\u7528\u7684\u7535\u5b50\u4e66<\/p>\n<ul>\n<li><a href=\"http:\/\/pan.baidu.com\/s\/1pJ0ok7T\">\u300aMachine Learning Summer School 2014\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:2014\u5e74\u4e03\u6708CMU\u4e3e\u529e\u7684\u673a\u5668\u5b66\u4e60\u590f\u5b63\u8bfe\u521a\u521a\u7ed3\u675f \u6709\u8fd150\u5c0f\u65f6\u7684\u89c6\u9891\u3001\u5341\u591a\u4e2aPDF\u7248\u5e7b\u706f\u7247\uff0c\u8986\u76d6 \u6df1\u5ea6\u5b66\u4e60\uff0c\u8d1d\u53f6\u65af\uff0c\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\uff0c\u4f38\u7f29\u6027 \u7b49\u70ed\u70b9\u8bdd\u9898\u3002\u6240\u670913\u540d\u8bb2\u5e08\u90fd\u662f\u725b\u4eba\uff1a\u5305\u62ec\u5927\u725bTom Mitchell \uff08\u4ed6\u7684\uff3b\u673a\u5668\u5b66\u4e60\uff3d\u662f\u540d\u6821\u7684\u5e38\u7528\u6559\u6750\uff09\uff0c\u8fd8\u6709CMU\u674e\u6c90 .\uff081080P\u9ad8\u6e05\u54df\uff09<\/p>\n<ul>\n<li><a href=\"http:\/\/users.soe.ucsc.edu\/%7Eniejiazhong\/slides\/chandra.pdf\">\u300aSibyl: \u6765\u81eaGoogle\u7684\u5927\u89c4\u6a21\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5728\u4eca\u5e74\u7684IEEE\/IFIP\u53ef\u9760\u7cfb\u7edf\u548c\u7f51\u7edc\uff08DSN\uff09\u56fd\u9645\u4f1a\u8bae\u4e0a\uff0cGoogle\u8f6f\u4ef6\u5de5\u7a0b\u5e08Tushar Chandra\u505a\u4e86\u4e00\u4e2a\u5173\u4e8eSibyl\u7cfb\u7edf\u7684\u4e3b\u9898\u6f14\u8bb2\u3002 Sibyl\u662f\u4e00\u4e2a\u76d1\u7763\u5f0f\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\uff0c\u7528\u6765\u89e3\u51b3\u9884\u6d4b\u65b9\u9762\u7684\u95ee\u9898\uff0c\u6bd4\u5982YouTube\u7684\u89c6\u9891\u63a8\u8350\u3002\u8be6\u60c5\u8bf7\u9605\u8bfb<a href=\"http:\/\/www.infoq.com\/cn\/news\/2014\/07\/google-sibyl\">google sibyl<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/googleresearch.blogspot.com\/2014\/09\/building-deeper-understanding-of-images.html\">\u300aBuilding a deeper understanding of images\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8c37\u6b4c\u7814\u7a76\u9662\u7684Christian Szegedy\u5728\u8c37\u6b4c\u7814\u7a76\u9662\u7684\u535a\u5ba2\u4e0a\u7b80\u8981\u5730\u4ecb\u7ecd\u4e86\u4ed6\u4eec\u4eca\u5e74\u53c2\u52a0ImageNet\u53d6\u5f97\u597d\u6210\u7ee9\u7684GoogLeNet\u7cfb\u7edf.\u662f\u5173\u4e8e\u56fe\u50cf\u5904\u7406\u7684\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/memect\/hao\/blob\/master\/awesome\/bayesian-network-python.md\">\u300aBayesian network \u4e0epython\u6982\u7387\u7f16\u7a0b\u5b9e\u6218\u5165\u95e8\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8d1d\u53f6\u65af\u5b66\u4e60\u3002\u5982\u679c\u4e0d\u662f\u5f88\u6e05\u53ef\u770b\u770b<a href=\"http:\/\/www.infoq.com\/cn\/news\/2014\/07\/programming-language-bayes\">\u6982\u7387\u7f16\u7a0b\u8bed\u8a00\u4e0e\u8d1d\u53f6\u65af\u65b9\u6cd5\u5b9e\u8df5<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.reddit.com\/r\/MachineLearning\/comments\/2fxi6v\/ama_michael_i_jordan\/\">\u300aAMA: Michael I Jordan\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7f51\u53cb\u95ee\u4f2f\u514b\u5229\u673a\u5668\u5b66\u4e60\u5927\u725b\u3001\u7f8e\u56fd\u53cc\u6599\u9662\u58ebMichael I. Jordan\uff1a&#8221;\u5982\u679c\u4f60\u670910\u4ebf\u7f8e\u91d1\uff0c\u4f60\u600e\u4e48\u82b1\uff1fJordan: &#8220;\u6211\u4f1a\u7528\u8fd910\u4ebf\u7f8e\u91d1\u5efa\u9020\u4e00\u4e2aNASA\u7ea7\u522b\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7814\u7a76\u9879\u76ee\u3002&#8221;<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cnblogs.com\/tornadomeet\/p\/3395593.html\">\u300a\u673a\u5668\u5b66\u4e60&amp;\u6570\u636e\u6316\u6398\u7b14\u8bb0_16\uff08\u5e38\u89c1\u9762\u8bd5\u4e4b\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u601d\u60f3\u7b80\u5355\u68b3\u7406\uff09\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5e38\u89c1\u9762\u8bd5\u4e4b\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u601d\u60f3\u7b80\u5355\u68b3\u7406,\u6b64\u5916\u4f5c\u8005\u8fd8\u6709\u4e00\u4e9b\u5176\u4ed6\u7684<a href=\"http:\/\/www.cnblogs.com\/tornadomeet\/tag\/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0\/\">\u673a\u5668\u5b66\u4e60\u4e0e\u6570\u636e\u6316\u6398\u6587\u7ae0<\/a>\u548c<a href=\"http:\/\/www.cnblogs.com\/tornadomeet\/tag\/Deep%E3%80%80Learning\/\">\u6df1\u5ea6\u5b66\u4e60\u6587\u7ae0<\/a>,\u4e0d\u4ec5\u662f\u7406\u8bba\u8fd8\u6709\u6e90\u7801\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdnuggets.com\/2014\/09\/most-viewed-web-mining-lectures-videolectures.html\">\u300a\u6587\u672c\u4e0e\u6570\u636e\u6316\u6398\u89c6\u9891\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aVideolectures\u4e0a\u6700\u53d7\u6b22\u8fce\u768425\u4e2a\u6587\u672c\u4e0e\u6570\u636e\u6316\u6398\u89c6\u9891\u6c47\u603b<\/p>\n<ul>\n<li><a href=\"http:\/\/timdettmers.wordpress.com\/2014\/08\/14\/which-gpu-for-deep-learning\/\">\u300a\u600e\u4e48\u9009\u62e9\u6df1\u5ea6\u5b66\u4e60\u7684GPUs\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5728Kaggle\u4e0a\u7ecf\u5e38\u53d6\u5f97\u4e0d\u9519\u6210\u7ee9\u7684Tim Dettmers\u4ecb\u7ecd\u4e86\u4ed6\u81ea\u5df1\u662f\u600e\u4e48\u9009\u62e9\u6df1\u5ea6\u5b66\u4e60\u7684GPUs, \u4ee5\u53ca\u4e2a\u4eba\u5982\u4f55\u6784\u5efa\u6df1\u5ea6\u5b66\u4e60\u7684GPU\u96c6\u7fa4: <a href=\"http:\/\/t.cn\/RhpuD1G\">http:\/\/t.cn\/RhpuD1G<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.infoq.com\/cn\/news\/2014\/09\/depth-model\">\u300a\u5bf9\u8bdd\u673a\u5668\u5b66\u4e60\u5927\u795eMichael Jordan\uff1a\u6df1\u5ea6\u6a21\u578b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5bf9\u8bdd\u673a\u5668\u5b66\u4e60\u5927\u795eMichael Jordan<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.sina.com.cn\/s\/blog_46d0a3930101fswl.html\">\u300aDeep Learning \u548c Knowledge Graph \u5f15\u7206\u5927\u6570\u636e\u9769\u547d\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd8\u6709\uff12\uff0c\uff13\u90e8\u5206\u3002<a href=\"http:\/\/blog.sina.com.cn\/s\/blog_46d0a3930101gs5h.html\">http:\/\/blog.sina.com.cn\/s\/blog_46d0a3930101gs5h.html<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/blog.sina.com.cn\/s\/blog_46d0a3930101h6nf.html\">\u300aDeep Learning \u6559\u7a0b\u7ffb\u8bd1\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u662fStanford \u6559\u6388 Andrew Ng \u7684 Deep Learning \u6559\u7a0b\uff0c\u56fd\u5185\u7684\u673a\u5668\u5b66\u4e60\u7231\u597d\u8005\u5f88\u70ed\u5fc3\u7684\u628a\u8fd9\u4e2a\u6559\u7a0b\u7ffb\u8bd1\u6210\u4e86\u4e2d\u6587\u3002\u5982\u679c\u4f60\u82f1\u8bed\u4e0d\u597d\uff0c\u53ef\u4ee5\u770b\u770b\u8fd9\u4e2a<\/p>\n<ul>\n<li><a href=\"http:\/\/markus.com\/deep-learning-101\/\">\u300aDeep Learning 101\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u56e0\u4e3a\u8fd1\u4e24\u5e74\u6765\uff0c\u6df1\u5ea6\u5b66\u4e60\u5728\u5a92\u4f53\u754c\u88ab\u7092\u4f5c\u5f88\u5389\u5bb3\uff08\u5c31\u50cf\u5927\u6570\u636e\uff09\u3002\u5176\u5b9e\u5f88\u591a\u4eba\u90fd\u8fd8\u4e0d\u77e5\u9053\u4ec0\u4e48\u662f\u6df1\u5ea6\u5b66\u4e60\u3002\u8fd9\u7bc7\u6587\u7ae0\u7531\u6d45\u5165\u6df1\u3002\u544a\u8bc9\u4f60\u6df1\u5ea6\u5b66\u7a76\u7adf\u662f\u4ec0\u4e48\uff01<\/p>\n<ul>\n<li><a href=\"http:\/\/ufldl.stanford.edu\/wiki\/index.php\/UFLDL_Tutorial\">\u300aUFLDL Tutorial\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u65af\u5766\u798f\u5927\u5b66\u505a\u7684\u4e00\u514d\u8d39\u8bfe\u7a0b\uff08\u5f88\u52c9\u5f3a\uff09\uff0c\u8fd9\u4e2a\u53ef\u4ee5\u7ed9\u4f60\u5728\u6df1\u5ea6\u5b66\u4e60\u7684\u8def\u4e0a\u7ed9\u4f60\u4e00\u4e2a\u5b66\u4e60\u7684\u601d\u8def\u3002\u91cc\u9762\u63d0\u5230\u4e86\u4e00\u4e9b\u57fa\u672c\u7684\u7b97\u6cd5\u3002\u800c\u4e14\u544a\u8bc9\u4f60\u5982\u4f55\u53bb\u5e94\u7528\u5230\u5b9e\u9645\u73af\u5883\u4e2d\u3002<a href=\"http:\/\/ufldl.stanford.edu\/wiki\/index.php\/UFLDL%E6%95%99%E7%A8%8B\">\u4e2d\u6587\u7248<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning.cs.toronto.edu\/\">\u300aToronto Deep Learning Demos\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u591a\u4f26\u591a\u5927\u5b66\u505a\u7684\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u7528\u6765\u8bc6\u522b\u56fe\u7247\u6807\u7b7e\uff0f\u56fe\u8f6c\u6587\u5b57\u7684demo\u3002\u662f\u4e00\u4e2a\u5b9e\u9645\u5e94\u7528\u6848\u4f8b\u3002\u6709\u6e90\u7801<\/p>\n<ul>\n<li><a href=\"http:\/\/metacademy.org\/roadmaps\/rgrosse\/deep_learning\">\u300aDeep learning from the bottom up\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u9605\u8bfb\u8fd9\u4e2a\u5185\u5bb9\u9700\u8981\u6709\u4e00\u5b9a\u7684\u57fa\u7840\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/cran.r-project.org\/web\/views\/\">\u300aR\u5de5\u5177\u5305\u7684\u5206\u7c7b\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: (CRAN Task Views, 34\u79cd\u5e38\u89c1\u4efb\u52a1,\u6bcf\u4e2a\u4efb\u52a1\u53c8\u5404\u81ea\u5206\u7c7b\u5217\u4e3e\u82e5\u5e72\u5e38\u7528\u76f8\u5173\u5de5\u5177\u5305) \u4f8b\u5982: \u673a\u5668\u5b66\u4e60\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0c\u65f6\u95f4\u5e8f\u5217\u5206\u6790\uff0c\u7a7a\u95f4\u4fe1\u606f\u5206\u6790\uff0c\u591a\u91cd\u53d8\u91cf\u5206\u6790\uff0c\u8ba1\u91cf\u7ecf\u6d4e\u5b66\uff0c\u5fc3\u7406\u7edf\u8ba1\u5b66\uff0c\u793e\u4f1a\u5b66\u7edf\u8ba1\uff0c\u5316\u5b66\u8ba1\u91cf\u5b66\uff0c\u73af\u5883\u79d1\u5b66\uff0c\u836f\u7269\u4ee3\u8c22\u52a8\u529b\u5b66 \u7b49<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ctocio.com\/hotnews\/15919.html\">\u300a\u673a\u5668\u5b66\u4e60\u5e38\u89c1\u7b97\u6cd5\u5206\u7c7b\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u673a\u5668\u5b66\u4e60\u65e0\u7591\u662f\u5f53\u524d\u6570\u636e\u5206\u6790\u9886\u57df\u7684\u4e00\u4e2a\u70ed\u70b9\u5185\u5bb9\u3002\u5f88\u591a\u4eba\u5728\u5e73\u65f6\u7684\u5de5\u4f5c\u4e2d\u90fd\u6216\u591a\u6216\u5c11\u4f1a\u7528\u5230\u673a\u5668\u5b66\u4e60\u7684\u7b97\u6cd5\u3002\u672c\u6587\u4e3a\u60a8\u603b\u7ed3\u4e00\u4e0b\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u4ee5\u4f9b\u60a8\u5728\u5de5\u4f5c\u548c\u5b66\u4e60\u4e2d\u53c2\u8003.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8775360\">\u300aDeep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5f88\u591a\u5e72\u8d27\uff0c\u800c\u4e14\u4f5c\u8005\u8fd8\u603b\u7ed3\u4e86\u597d\u51e0\u4e2a\u7cfb\u5217\u3002\u53e6\u5916\u8fd8\u4f5c\u8005\u8fd8\u4e86\u4e00\u4e2a<a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/14222605\">\u6587\u7ae0\u5bfc\u822a<\/a>.\u975e\u5e38\u7684\u611f\u8c22\u4f5c\u8005\u603b\u7ed3\u3002<\/p>\n<p><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8775488\">Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u4e4b\uff08\u4e8c\uff09<\/a><\/p>\n<p><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8775518\">Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u4e4b\uff08\u4e09\uff09<\/a><\/p>\n<p><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8775524\">Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u4e4b\uff08\u56db\uff09<\/a><\/p>\n<p><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8777094\">Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u4e4b\uff08\u4e94\uff09<\/a><\/p>\n<p><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8781396\">Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u4e4b\uff08\u516d\uff09<\/a><\/p>\n<p><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8781543\">Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u4e4b\uff08\u4e03\uff09<\/a><\/p>\n<p><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/8782018\">DeepLearning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u4e4b\uff08\u516b\uff09<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/apps\/video\/default.aspx?id=206976&amp;l=i\">\u300aTutorials Session A &#8211; Deep Learning for Computer Vision\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f20\u9001\u7406\u7531\uff1aRob Fergus\u7684\u7528\u6df1\u5ea6\u5b66\u4e60\u505a\u8ba1\u7b97\u673a\u662f\u89c9\u7684NIPS 2013\u6559\u7a0b\u3002\u6709mp4, mp3, pdf\u5404\u79cd<a href=\"http:\/\/msrvideo.vo.msecnd.net\/rmcvideos\/206976\/dl\/206976.pdf\">\u4e0b\u8f7d<\/a> \u4ed6\u662f\u7ebd\u7ea6\u5927\u5b66\u6559\u6388\uff0c\u76ee\u524d\u4e5f\u5728Facebook\u5de5\u4f5c\uff0c\u4ed62014\u5e74\u76848\u7bc7<a href=\"http:\/\/cs.nyu.edu\/%7Efergus\/pmwiki\/pmwiki.php?n=PmWiki.Publications\">\u8bba\u6587<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/xpqiu\/fnlp\/\">\u300aFudanNLP\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:FudanNLP\uff0c\u8fd9\u662f\u4e00\u4e2a\u590d\u65e6\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662\u5f00\u53d1\u7684\u5f00\u6e90\u4e2d\u6587\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u5de5\u5177\u5305 Fudan NLP\u91cc\u5305\u542b\u4e2d\u6587\u5206\u8bcd\u3001\u5173\u952e\u8bcd\u62bd\u53d6\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u3001\u8bcd\u6027\u6807\u6ce8\u3001\u65f6\u95f4\u8bcd\u62bd\u53d6\u3001\u8bed\u6cd5\u5206\u6790\u7b49\u529f\u80fd\uff0c\u5bf9\u641c\u7d22\u5f15\u64ce \u6587\u672c\u5206\u6790\u7b49\u6781\u4e3a\u6709\u4ef7\u503c\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/engineering.linkedin.com\/large-scale-machine-learning\/open-sourcing-ml-ease\">\u300aOpen Sourcing ml-ease\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:LinkedIn \u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u5de5\u5177\u5305,\u652f\u6301\u5355\u673a, Hadoop cluster\uff0c\u548c Spark cluster \u91cd\u70b9\u662f logistic regression \u7b97\u6cd5<\/p>\n<ul>\n<li><a href=\"http:\/\/ztl2004.github.io\/MachineLearningWeekly\/index.html\">\u300a\u673a\u5668\u5b66\u4e60\u5468\u520a\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5bf9\u4e8e\u82f1\u8bed\u4e0d\u597d\uff0c\u4f46\u53c8\u5f88\u60f3\u5b66\u4e60\u673a\u5668\u5b66\u4e60\u7684\u670b\u53cb\u3002\u662f\u4e00\u4e2a\u5927\u7684\u798f\u5229\u3002\u673a\u5668\u5b66\u4e60\u5468\u520a\u76ee\u524d\u4e3b\u8981\u63d0\u4f9b\u4e2d\u6587\u7248\uff0c\u8fd8\u662f\u9762\u5411\u5e7f\u5927\u56fd\u5185\u7231\u597d\u8005\uff0c\u5185\u5bb9\u6d89\u53ca\u673a\u5668\u5b66\u4e60\u3001\u6570\u636e\u6316\u6398\u3001\u5e76\u884c\u7cfb\u7edf\u3001\u56fe\u50cf\u8bc6\u522b\u3001\u4eba\u5de5\u667a\u80fd\u3001\u673a\u5668\u4eba\u7b49\u7b49\u3002\u8c22\u8c22\u4f5c\u8005<\/p>\n<ul>\n<li><a href=\"http:\/\/v.163.com\/special\/opencourse\/daishu.html\">\u300a\u7ebf\u6027\u4ee3\u6570\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u300a\u7ebf\u6027\u4ee3\u6570\u300b\u662f\u300a\u673a\u5668\u5b66\u4e60\u300b\u7684\u91cd\u8981\u6570\u5b66\u5148\u5bfc\u8bfe\u7a0b\u3002\u5176\u5b9e\u300a\u7ebf\u4ee3\u300b\u8fd9\u95e8\u8bfe\u8bb2\u5f97\u6d45\u663e\u6613\u61c2\u7279\u522b\u4e0d\u5bb9\u6613\uff0c\u5982\u679c\u4e00\u4e0a\u6765\u5c31\u8bb2\u9006\u5e8f\u6570\u53ca\u7f57\u5217\u884c\u5217\u5f0f\u6027\u8d28\uff0c\u5f88\u5bb9\u6613\u8ba9\u5b66\u751f\u5931\u53bb\u5b66\u4e60\u7684\u5174\u8da3\u3002\u6211\u4e2a\u4eba\u63a8\u8350\u7684\u6700\u4f73\u300a\u7ebf\u6027\u4ee3\u6570\u300b\u8bfe\u7a0b\u662f\u9ebb\u7701\u7406\u5de5Gilbert Strang\u6559\u6388\u7684\u8bfe\u7a0b\u3002 <a href=\"http:\/\/ocw.mit.edu\/courses\/mathematics\/18-06-linear-algebra-spring-2010\/\">\u8bfe\u7a0b\u4e3b\u9875<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/blog.andreamostosi.name\/big-data\/\">\u300aBig-data\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5927\u6570\u636e\u6570\u636e\u5904\u7406\u8d44\u6e90\u3001\u5de5\u5177\u4e0d\u5b8c\u5907\u5217\u8868\uff0c\u4ece\u6846\u67b6\u3001\u5206\u5e03\u5f0f\u7f16\u7a0b\u3001\u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edf\u3001\u952e\u503c\u6570\u636e\u6a21\u578b\u3001\u56fe\u6570\u636e\u6a21\u578b\u3001\u6570\u636e\u53ef\u89c6\u5316\u3001\u5217\u5b58\u50a8\u3001\u673a\u5668\u5b66\u4e60\u7b49\u3002\u5f88\u8d5e\u7684\u8d44\u6e90\u6c47\u603b\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/yahoolabs.tumblr.com\/post\/97839313996\/machine-learning-for-smart-dummies\">\u300amachine learning for smart dummies\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u96c5\u864e\u9080\u8bf7\u4e86\u4e00\u540d\u6765\u81ea\u672c\u53e4\u91cc\u5b89\u5927\u5b66\u7684\u8bbf\u95ee\u5b66\u8005\uff0c\u5236\u4f5c\u4e86\u4e00\u5957\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u7cfb\u5217\u89c6\u9891\u8bfe\u7a0b\u3002\u672c\u8bfe\u7a0b\u5171\u5206\u4e3a7\u671f\uff0c\u8be6\u7ec6\u8bb2\u89e3\u4e86\u6709\u5173SVM, boosting, nearest neighbors, decision trees \u7b49\u5e38\u89c4\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u7406\u8bba\u57fa\u7840\u77e5\u8bc6\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1409.7770\">\u300aEntanglement-Based Quantum Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5e94\u5bf9\u5927\u6570\u636e\u65f6\u4ee3\uff0c\u91cf\u5b50\u673a\u5668\u5b66\u4e60\u7684\u7b2c\u4e00\u4e2a\u5b9e\u9a8c <a href=\"http:\/\/arxiv-web3.library.cornell.edu\/pdf\/1409.7770.pdf\">paper \u4e0b\u8f7d<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.wired.com\/2014\/01\/how-to-hack-okcupid\/all\/\">\u300aHow a Math Genius Hacked OkCupid to Find True Love\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Wired\u6742\u5fd7\u62a5\u9053\u4e86UCLA\u6570\u5b66\u535a\u58ebChris McKinlay \uff08\u56fe1\uff09\u901a\u8fc7\u5927\u6570\u636e\u624b\u6bb5+\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u7834\u89e3\u5a5a\u604b\u7f51\u7ad9\u914d\u5bf9\u7b97\u6cd5\u627e\u5230\u771f\u7231\u7684\u6545\u4e8b,\u901a\u8fc7Python\u811a\u672c\u63a7\u5236\u774012\u4e2a\u8d26\u53f7\uff0c\u4e0b\u8f7d\u4e86\u5a5a\u604b\u7f51\u7ad92\u4e07\u5973\u7528\u6237\u7684600\u4e07 \u95ee\u9898\u7b54\u6848\uff0c\u5bf9\u4ed6\u4eec\u8fdb\u884c\u4e86\u7edf\u8ba1\u62bd\u6837\u53ca\u805a\u7c7b\u5206\u6790\uff08\u56fe2\uff0c3\uff09\uff0c\u6700\u540e\u7ec8\u4e8e\u6536\u83b7\u4e86\u771f\u7231\u3002\u79d1\u6280\u6539\u53d8\u547d\u8fd0\uff01<\/p>\n<ul>\n<li><a href=\"https:\/\/www.edx.org\/course\/mitx\/mitx-6-832x-underactuated-robotics-3511\">\u300aUnderactuated Robotics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:MIT\u7684Underactuated Robotics\u4e8e 2014\u5e7410\u67081\u65e5\u5f00\u8bfe\uff0c\u8be5\u8bfe\u5c5e\u4e8eMIT\u7814\u7a76\u751f\u7ea7\u522b\u7684\u8bfe\u7a0b\uff0c\u5bf9\u673a\u5668\u4eba\u548c\u975e\u7ebf\u6027\u52a8\u529b\u7cfb\u7edf\u611f\u5174\u8da3\u7684\u670b\u53cb\u4e0d\u59a8\u53ef\u4ee5\u6311\u6218\u4e00\u4e0b\u8fd9\u95e8\u8bfe\u7a0b\uff01<\/p>\n<ul>\n<li><a href=\"http:\/\/yanbohappy.sinaapp.com\/?p=498\">\u300amllib\u5b9e\u8df5\u7ecf\u9a8c(1)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:mllib\u5b9e\u8df5\u7ecf\u9a8c\u5206\u4eab<\/p>\n<ul>\n<li><a href=\"http:\/\/www.seobythesea.com\/2014\/09\/google-turns-deep-learning-classification-fight-web-spam\/\">\u300aGoogle Turns To Deep Learning Classification To Fight Web Spam\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Google\u7528Deep Learning\u505a\u7684antispam(\u53cd\u5783\u573e\u90ae\u4ef6)<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/memect\/hao\/blob\/master\/awesome\/nlp.md\">\u300aNLP\u5e38\u7528\u4fe1\u606f\u8d44\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NLP\u5e38\u7528\u4fe1\u606f\u8d44\u6e90* <a href=\"https:\/\/github.com\/memect\/hao\/blob\/master\/awesome\/nlp.md\">\u300aNLP\u5e38\u7528\u4fe1\u606f\u8d44\u6e90\u300b<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/soulmachine\/machine-learning-cheat-sheet\">\u300a\u673a\u5668\u5b66\u4e60\u901f\u67e5\u8868\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u901f\u67e5\u8868<\/p>\n<ul>\n<li><a href=\"http:\/\/arnetminer.org\/conferencebestpapers\">\u300aBest Papers vs. Top Cited Papers in Computer Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4ece1996\u5e74\u5f00\u59cb\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u7684\u8bba\u6587\u4e2d\u88ab\u5f15\u7528\u6b21\u6570\u6700\u591a\u7684\u8bba\u6587<\/p>\n<ul>\n<li><a href=\"http:\/\/mmcheng.net\/zh\/itam\/\">\u300aInfiniTAM: \u57fa\u4e8e\u6df1\u5ea6\u56fe\u50cf\u7684\u4f53\u6570\u636e\u96c6\u6210\u6846\u67b6\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u628a\u4eca\u5e74\u7684\u4e00\u4e2aACM Trans. on Graphics (TOG)\u8bba\u6587\u4e2d\u7684\u4ee3\u7801\u6574\u7406\u4e3a\u4e00\u4e2a\u5f00\u6e90\u7684\u7b97\u6cd5\u6846\u67b6\uff0c\u5171\u4eab\u51fa\u6765\u4e86\u3002\u6b22\u8fce\u5927\u5bb6\u4f7f\u7528\u3002\u53ef\u4ee5\u5b9e\u65f6\u7684\u91c7\u96c63D\u6570\u636e\u3001\u91cd\u5efa\u51fa\u4e09\u7ef4\u6a21\u578b\u3002Online learning\uff0cGPU Random forest\uff0cGPU CRF\u4e5f\u4f1a\u540e\u7eed\u516c\u5f00\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/karpathy.github.io\/neuralnets\/\">\u300aHacker&#8217;s guide to Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u3010\u795e\u7ecf\u7f51\u7edc\u9ed1\u5ba2\u6307\u5357\u3011\u73b0\u5728\uff0c\u6700\u706b\u83ab\u8fc7\u4e8e\u6df1\u5ea6\u5b66\u4e60\uff08Deep Learning\uff09\uff0c\u600e\u6837\u66f4\u597d\u5b66\u4e60\u5b83\uff1f\u53ef\u4ee5\u8ba9\u4f60\u5728\u6d4f\u89c8\u5668\u4e2d\uff0c\u8dd1\u8d77\u6df1\u5ea6\u5b66\u4e60\u6548\u679c\u7684\u8d85\u9177\u5f00\u6e90\u9879\u76ee<a href=\"https:\/\/github.com\/karpathy\/convnetjs\">ConvNetJS<\/a>\u4f5c\u8005karpathy\u544a\u8bc9\u4f60\uff0c\u6700\u4f73\u6280\u5de7\u662f\uff0c\u5f53\u4f60\u5f00\u59cb\u5199\u4ee3\u7801\uff0c\u4e00\u5207\u5c06\u53d8\u5f97\u6e05\u6670\u3002\u4ed6\u521a\u53d1\u5e03\u4e86\u4e00\u672c\u56fe\u4e66\uff0c\u4e0d\u65ad\u5728\u7ebf\u66f4\u65b0<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/building-a-production-machine-learning-infrastructure\/\">\u300aBuilding a Production Machine Learning Infrastructure\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u524dGoogle\u5e7f\u544a\u7cfb\u7edf\u5de5\u7a0b\u5e08Josh Wills \u8bb2\u8ff0\u5de5\u4e1a\u754c\u548c\u5b66\u672f\u754c\u673a\u5668\u5b66\u4e60\u7684\u5f02\u540c,\u5927\u5b9e\u8bdd<\/p>\n<ul>\n<li><a href=\"http:\/\/neo4j.com\/blog\/deep-learning-sentiment-analysis-movie-reviews-using-neo4j\/\">\u300aDeep Learning Sentiment Analysis for Movie Reviews using Neo4j\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4f7f\u7528<a href=\"http:\/\/www.neo4j.org\/\">Neo4j<\/a> \u505a\u7535\u5f71\u8bc4\u8bba\u7684\u60c5\u611f\u5206\u6790\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/memkite.com\/deep-learning-bibliography\/\">\u300aDeepLearning.University \u2013 An Annotated Deep Learning Bibliography\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4e0d\u4ec5\u662f\u8d44\u6599\uff0c\u800c\u4e14\u8fd8\u5bf9\u6709\u4e9b\u8d44\u6599\u505a\u4e86\u6ce8\u91ca\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.datarobot.com\/blog\/a-primer-on-deep-learning\/\">\u300aA primer on deeping learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u7684\u521d\u7ea7\u8bfb\u672c<\/p>\n<ul>\n<li><a href=\"https:\/\/news.ycombinator.com\/item?id=8379571\">\u300aMachine learning is teaching us the secret to teaching \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u673a\u5668\u5b66\u4e60\u6559\u4f1a\u4e86\u6211\u4eec\u4ec0\u4e48\uff1f<\/p>\n<ul>\n<li><a href=\"http:\/\/scikit-learn.org\/stable\/documentation.html\">\u300ascikit-learn\uff1a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684Python\u6a21\u5757\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1ascikit-learn\u662f\u5728SciPy\u57fa\u7840\u4e0a\u6784\u5efa\u7684\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684Python\u6a21\u5757\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.infoq.com\/cn\/news\/2014\/10\/interview-michael-jordan\">\u300a\u5bf9\u8bdd\u673a\u5668\u5b66\u4e60\u5927\u795eMichael Jordan\uff1a\u89e3\u6790\u9886\u57df\u4e2d\u5404\u7c7b\u6a21\u578b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4e54\u4e39\u6559\u6388\uff08Michael I. Jordan\uff09\u6559\u6388\u662f\u673a\u5668\u5b66\u4e60\u9886\u57df\u795e\u7ecf\u7f51\u7edc\u7684\u5927\u725b\uff0c\u4ed6\u5bf9\u6df1\u5ea6\u5b66\u4e60\u3001\u795e\u7ecf\u7f51\u7edc\u6709\u7740\u5f88\u6d53\u539a\u7684\u5174\u8da3\u3002\u56e0\u6b64\uff0c\u5f88\u591a\u63d0\u95ee\u7684\u95ee\u9898\u4e2d\u5305\u542b\u4e86\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u5404\u7c7b\u6a21\u578b\uff0c\u4e54\u4e39\u6559\u6388\u5bf9\u6b64\u4e00\u4e00\u505a\u4e86\u89e3\u91ca\u548c\u5c55\u671b\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.redblobgames.com\/pathfinding\/a-star\/introduction.html\">\u300aA*\u641c\u7d22\u7b97\u6cd5\u7684\u53ef\u89c6\u5316\u77ed\u6559\u7a0b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aA*\u641c\u7d22\u662f\u4eba\u5de5\u667a\u80fd\u57fa\u672c\u7b97\u6cd5\uff0c\u7528\u4e8e\u9ad8\u6548\u5730\u641c\u7d22\u56fe\u4e2d\u4e24\u70b9\u7684\u6700\u4f73\u8def\u5f84, \u6838\u5fc3\u662f g(n)+h(n): g(n)\u662f\u4ece\u8d77\u70b9\u5230\u9876\u70b9n\u7684\u5b9e\u9645\u4ee3\u4ef7\uff0ch(n)\u662f\u9876\u70b9n\u5230\u76ee\u6807\u9876\u70b9\u7684\u4f30\u7b97\u4ee3\u4ef7\u3002<a href=\"https:\/\/github.com\/memect\/hao\/issues\/256\">\u5408\u96c6<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/code.csdn.net\/news\/2822123\">\u300a\u57fa\u4e8e\u4e91\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5f00\u6e90\u9879\u76eeFudanNLP\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u672c\u9879\u76ee\u5229\u7528\u4e86Microsoft Azure\uff0c\u53ef\u4ee5\u5728\u51e0\u5206\u79cd\u5185\u5b8c\u6210NLP on Azure Website\u7684\u90e8\u7f72\uff0c\u7acb\u5373\u5f00\u59cb\u5bf9FNLP\u5404\u79cd\u7279\u6027\u7684\u8bd5\u7528\uff0c\u6216\u8005\u4ee5REST API\u7684\u5f62\u5f0f\u8c03\u7528FNLP\u7684\u8bed\u8a00\u5206\u6790\u529f\u80fd<\/p>\n<ul>\n<li><a href=\"http:\/\/www.youku.com\/playlist_show\/id_22935176.html\">\u300a\u5434\u7acb\u5fb7\u300a\u6982\u7387\u4e3b\u9898\u6a21\u578b&amp;\u6570\u636e\u79d1\u5b66\u57fa\u7840\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u73b0\u4efb\u590d\u65e6\u5927\u5b66\u9996\u5e2d\u6559\u6388\u3001\u8ba1\u7b97\u673a\u8f6f\u4ef6\u535a\u58eb\u751f\u5bfc\u5e08\u3002\u8ba1\u7b97\u673a\u79d1\u5b66\u7814\u7a76\u6240\u526f\u6240\u957f.\u5185\u90e8\u8bfe\u7a0b<\/p>\n<ul>\n<li><a href=\"http:\/\/ml.memect.com\/article\/machine-learning-guide.html\">\u300a\u673a\u5668\u5b66\u4e60\u5165\u95e8\u8d44\u6e90\u4e0d\u5b8c\u5168\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u597d\u4e1c\u897f\u7684\u5e72\u8d27\u771f\u7684\u5f88\u591a<\/p>\n<ul>\n<li><a href=\"http:\/\/memkite.com\/deep-learning-bibliography\/\">\u300a\u6536\u96c6\u4ece2014\u5e74\u5f00\u59cb\u6df1\u5ea6\u5b66\u4e60\u6587\u732e\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4ece\u786c\u4ef6\u3001\u56fe\u50cf\u5230\u5065\u5eb7\u3001\u751f\u7269\u3001\u5927\u6570\u636e\u3001\u751f\u7269\u4fe1\u606f\u518d\u5230\u91cf\u5b50\u8ba1\u7b97\u7b49\uff0cAmund Tveit\u7b49\u7ef4\u62a4\u4e86\u4e00\u4e2aDeepLearning.University\u5c0f\u9879\u76ee\uff1a\u6536\u96c6\u4ece2014\u5e74\u5f00\u59cb\u6df1\u5ea6\u5b66\u4e60\u6587\u732e\uff0c\u76f8\u4fe1\u53ef\u4ee5\u4f5c\u4e3a\u6df1\u5ea6\u5b66\u4e60\u7684\u8d77\u70b9,<a href=\"https:\/\/github.com\/memkite\/DeepLearningBibliography\">github<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/emnlp2014.org\/papers\/pdf\/EMNLP2014148.pdf\">\u300aEMNLP\u4e0a\u4e24\u7bc7\u5173\u4e8e\u80a1\u7968\u8d8b\u52bf\u7684\u5e94\u7528\u8bba\u6587 \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aEMNLP\u4e0a\u4e24\u7bc7\u5173\u4e8e<a href=\"http:\/\/emnlp2014.org\/papers\/pdf\/EMNLP2014148.pdf\">stock trend<\/a> \u7528\u5230\u4e86deep model\u7ec4\u7ec7\u7279\u5f81\uff1b<a href=\"http:\/\/emnlp2014.org\/papers\/pdf\/EMNLP2014120.pdf\"> Exploiting Social Relations and Sentiment for Stock Prediction<\/a>\u7528\u5230\u4e86stock network\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning.net\/tutorial\/deeplearning.pdf\">\u300aBengio\u7ec4\uff08\u8499\u7279\u5229\u5c14\u5927\u5b66LISA\u7ec4\uff09\u6df1\u5ea6\u5b66\u4e60\u6559\u7a0b \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4f5c\u8005\u662f\u6df1\u5ea6\u5b66\u4e60\u4e00\u7ebf\u5927\u725bBengio\u7ec4\u5199\u7684\u6559\u7a0b\uff0c\u7b97\u6cd5\u6df1\u5165\u663e\u51fa\uff0c\u8fd8\u6709\u5b9e\u73b0\u4ee3\u7801\uff0c\u4e00\u6b65\u6b65\u5c55\u5f00\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1410.5401v1.pdf\">\u300a\u5b66\u4e60\u7b97\u6cd5\u7684Neural Turing Machine \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8bb8\u591a\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u90fd\u662f\u5728\u5b66\u4e60function\uff0c\u4e0d\u8fc7\u8c37\u6b4c\u76ee\u524d\u6709\u5f00\u59cb\u5b66\u4e60\u7b97\u6cd5\u7684\u8d8b\u52bf\u3002\u8c37\u6b4c\u53e6\u5916\u7684\u8fd9\u7bc7\u5b66\u4e60Python\u7a0b\u5e8f\u7684<a href=\"http:\/\/arxiv.org\/pdf\/1410.4615v1.pdf\">Learning to Execute<\/a>\u4e5f\u6709\u76f8\u4f3c\u4e4b\u5904<\/p>\n<ul>\n<li><a href=\"http:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00607ED2V01Y201410HLT026\">\u300aLearning to Rank for Information Retrieval and Natural Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4f5c\u8005\u662f\u534e\u4e3a\u6280\u672f\u6709\u9650\u516c\u53f8\uff0c\u8bfa\u4e9a\u65b9\u821f\u5b9e\u9a8c\u5ba4\uff0c\u9996\u5e2d\u79d1\u5b66\u5bb6\u7684\u674e\u822a\u535a\u58eb\u5199\u7684\u5173\u4e8e\u4fe1\u606f\u68c0\u7d22\u4e0e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u6587\u7ae0<\/p>\n<ul>\n<li><a href=\"http:\/\/www.aclweb.org\/anthology\/D11-1147\">\u300aRumor has it: Identifying Misinformation in Microblogs\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u5229\u7528\u673a\u7528\u5668\u5b66\u4e60\u5728\u8c23\u8a00\u7684\u5224\u522b\u4e0a\u7684\u5e94\u7528,\u6b64\u5916\u8fd8\u6709\u4e24\u4e2a\u3002\u4e00\u4e2a\u662f\u8bc6\u522b\u5783\u573e\u4e0e\u865a\u5047\u4fe1\u606f\u7684<a href=\"http:\/\/digital.cs.usu.edu\/%7Ekyumin\/tutorial\/www-tutorial.pdf\">paper<\/a>.\u8fd8\u6709\u4e00\u4e2a\u662f<a href=\"http:\/\/www.datatang.com\/news\/details_1319.htm\">\u7f51\u7edc\u8206\u60c5\u53ca\u5176\u5206\u6790\u6280\u672f<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/study.163.com\/course\/introduction\/854064.htm\">\u300aR\u673a\u5668\u5b66\u4e60\u5b9e\u8df5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8be5\u8bfe\u7a0b\u662f\u7f51\u6613\u516c\u5f00\u8bfe\u7684\u6536\u8d39\u8bfe\u7a0b\uff0c\u4e0d\u8d35\uff0c\u8d85\u7ea7\u4fbf\u5b9c\u3002\u4e3b\u8981\u9002\u5408\u4e8e\u5bf9\u5229\u7528R\u8bed\u8a00\u8fdb\u884c\u673a\u5668\u5b66\u4e60\uff0c\u6570\u636e\u6316\u6398\u611f\u5174\u8da3\u7684\u4eba\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/ifeve.com\/bigdataanalyticsbeyondhadoop_evolutionofmlrealizaton\/\">\u300a\u5927\u6570\u636e\u5206\u6790\uff1a\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5b9e\u73b0\u7684\u6f14\u5316\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u672c\u7ae0\u4e2d\u4f5c\u8005\u603b\u7ed3\u4e86\u4e09\u4ee3\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5b9e\u73b0\u7684\u6f14\u5316\uff1a\u7b2c\u4e00\u4ee3\u975e\u5206\u5e03\u5f0f\u7684\uff0c \u7b2c\u4e8c\u4ee3\u5de5\u5177\u5982Mahout\u548cRapidminer\u5b9e\u73b0\u57fa\u4e8eHadoop\u7684\u6269\u5c55\uff0c\u7b2c\u4e09\u4ee3\u5982Spark\u548cStorm\u5b9e\u73b0\u4e86\u5b9e\u65f6\u548c\u8fed\u4ee3\u6570\u636e\u5904\u7406\u3002<a href=\"http:\/\/ifeve.com\/wp-content\/uploads\/2014\/05\/big-data-analytics-beyond-hadoop.pdf\">BIG DATA ANALYTICS BEYOND HADOOP<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/book.douban.com\/subject\/5921462\/\">\u300a\u56fe\u50cf\u5904\u7406\uff0c\u5206\u6790\u4e0e\u673a\u5668\u89c6\u89c9\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8bb2\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u56db\u90e8\u5947\u4e66\uff08\u5e94\u8be5\u53eb\u7ecf\u5178\u5427\uff09\u4e4b\u4e00\uff0c\u53e6\u5916\u4e09\u672c\u662fHartley\u7684\u300a\u591a\u56fe\u51e0\u4f55\u300b\u3001Gonzalez\u7684\u300a\u6570\u5b57\u56fe\u50cf\u5904\u7406\u300b\u3001Rafael C.Gonzalez \/ Richard E.Woods \u7684<a href=\"http:\/\/book.douban.com\/subject\/1106342\/\">\u300a\u6570\u5b57\u56fe\u50cf\u5904\u7406\u300b<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/pan.baidu.com\/s\/1sjFeLTN\">\u300aLinkedIn\u6700\u65b0\u7684\u63a8\u8350\u7cfb\u7edf\u6587\u7ae0Browsemaps\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u91cc\u9762\u57fa\u672c\u6ca1\u6d89\u53ca\u5230\u5177\u4f53\u7b97\u6cd5\uff0c\u4f46\u4f5c\u8005\u4ecb\u7ecd\u4e86CF\u5728LinkedIn\u7684\u5f88\u591a\u5e94\u7528\uff0c\u4ee5\u53ca\u4ed6\u4eec\u5728\u505a\u63a8\u8350\u8fc7\u7a0b\u4e2d\u83b7\u5f97\u7684\u4e00\u4e9b\u7ecf\u9a8c\u3002\u6700\u540e\u4e00\u6761\u7ecf\u9a8c\u662f\u5e94\u8be5\u76d1\u63a7log\u6570\u636e\u7684\u8d28\u91cf\uff0c\u56e0\u4e3a\u63a8\u8350\u7684\u8d28\u91cf\u5f88\u4f9d\u8d56\u6570\u636e\u7684\u8d28\u91cf\uff01<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.sina.com.cn\/s\/blog_574a437f01019poo.html\">\u300a\u521d\u5b66\u8005\u5982\u4f55\u67e5\u9605\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u9886\u57df\u5b66\u672f\u8d44\u6599\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u521d\u5b66\u8005\u5982\u4f55\u67e5\u9605\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u9886\u57df\u5b66\u672f\u8d44\u6599<\/p>\n<ul>\n<li><a href=\"http:\/\/www.open-electronics.org\/raspberry-pi-and-the-camera-pi-module-face-recognition-tutorial\/\">\u300a\u6811\u8393\u6d3e\u7684\u4eba\u8138\u8bc6\u522b\u6559\u7a0b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u7528\u6811\u8393\u6d3e\u548c\u76f8\u673a\u6a21\u5757\u8fdb\u884c\u4eba\u8138\u8bc6\u522b<\/p>\n<ul>\n<li><a href=\"http:\/\/www.hangli-hl.com\/uploads\/3\/1\/6\/8\/3168008\/short_text_conversation_mla.pdf\">\u300a\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u4e0e\u5927\u6570\u636e\u6784\u5efa\u5bf9\u8bdd\u7cfb\u7edf \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u5982\u4f55\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u4e0e\u5927\u6570\u636e\u6784\u5efa\u5bf9\u8bdd\u7cfb\u7edf<\/p>\n<ul>\n<li><a href=\"http:\/\/lear.inrialpes.fr\/people\/mairal\/resources\/pdf\/review_sparse_arxiv.pdf\">\u300a\u7ecf\u5178\u8bba\u6587Leo Breiman\uff1aStatistical Modeling: The Two Cultures \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aFrancis Bach\u5408\u4f5c\u7684\u6709\u5173\u7a00\u758f\u5efa\u6a21\u7684\u65b0\u7efc\u8ff0(\u4e66)\uff1aSparse Modeling for Image and Vision Processing\uff0c\u5185\u5bb9\u6d89\u53caSparsity, Dictionary Learning, PCA, Matrix Factorization\u7b49\u7406\u8bba\uff0c\u4ee5\u53ca\u5728\u56fe\u50cf\u548c\u89c6\u89c9\u4e0a\u7684\u5e94\u7528\uff0c\u800c\u4e14\u7b2c\u4e00\u90e8\u5206\u5173\u4e8eWhy does the l1-norm induce sparsity\u7684\u89e3\u91ca\u4e5f\u5f88\u4e0d\u9519\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.umiacs.umd.edu\/%7Ehal\/docs\/daume04rkhs.pdf\">\u300aReproducing Kernel Hilbert Space\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aRKHS\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u91cd\u8981\u7684\u6982\u5ff5\uff0c\u5176\u5728large margin\u5206\u7c7b\u5668\u4e0a\u7684\u5e94\u7528\u4e5f\u662f\u5e7f\u4e3a\u719f\u77e5\u7684\u3002\u5982\u679c\u6ca1\u6709\u8f83\u597d\u7684\u6570\u5b66\u57fa\u7840\uff0c\u76f4\u63a5\u7406\u89e3RKHS\u53ef\u80fd\u4f1a\u4e0d\u6613\u3002\u672c\u6587\u4ece\u57fa\u672c\u8fd0\u7b97\u7a7a\u95f4\u8bb2\u5230Banach\u548cHilbert\u7a7a\u95f4\uff0c\u6df1\u5165\u6d45\u51fa\uff0c\u4e00\u5171\u624d12\u9875\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/karpathy.github.io\/neuralnets\/\">\u300aHacker&#8217;s guide to Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8bb8\u591a\u540c\u5b66\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u53ca\u6df1\u5ea6\u5b66\u4e60\u7684\u56f0\u60d1\u5728\u4e8e\uff0c\u6570\u5b66\u65b9\u9762\u5df2\u7ecf\u5927\u81f4\u7406\u89e3\u4e86\uff0c\u4f46\u662f\u52a8\u8d77\u624b\u6765\u5374\u4e0d\u77e5\u9053\u5982\u4f55\u4e0b\u624b\u5199\u4ee3\u7801\u3002\u65af\u5766\u798f\u6df1\u5ea6\u5b66\u4e60\u535a\u58ebAndrej Karpathy\u5199\u4e86\u4e00\u7bc7\u5b9e\u6218\u7248\u672c\u7684\u6df1\u5ea6\u5b66\u4e60\u53ca\u673a\u5668\u5b66\u4e60\u6559\u7a0b\uff0c\u624b\u628a\u624b\u6559\u4f60\u7528Javascript\u5199\u795e\u7ecf\u7f51\u7edc\u548cSVM.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/pandalibaba\/article\/details\/17409395\">\u300a\u3010\u8bed\u6599\u5e93\u3011\u8bed\u6599\u5e93\u8d44\u6e90\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u3010\u8bed\u6599\u5e93\u3011\u8bed\u6599\u5e93\u8d44\u6e90\u6c47\u603b<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.jobbole.com\/60809\/\">\u300a\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u4e4b\u65c5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u672c\u6587\u4f1a\u8fc7\u4e00\u904d\u6700\u6d41\u884c\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u5927\u81f4\u4e86\u89e3\u54ea\u4e9b\u65b9\u6cd5\u53ef\u7528\uff0c\u5f88\u6709\u5e2e\u52a9\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.csee.wvu.edu\/%7Exinl\/source.html\">\u300aReproducible Research in Computational Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u4e2a\u91cc\u9762\u6709\u5f88\u591a\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u3001\u4fe1\u53f7\u5904\u7406\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u6df1\u5165\u5b66\u4e60\u3001\u795e\u7ecf\u7f51\u7edc\u7b49\u9886\u57df\u7684\u5927\u91cf\u6e90\u4ee3\u7801\uff08\u6216\u53ef\u6267\u884c\u4ee3\u7801\uff09\u53ca\u76f8\u5173\u8bba\u6587\u3002\u79d1\u7814\u5199\u8bba\u6587\u7684\u597d\u8d44\u6e90<\/p>\n<ul>\n<li><a href=\"http:\/\/cilvr.nyu.edu\/doku.php?id=deeplearning:slides:start\">\u300aNYU 2014\u5e74\u7684\u6df1\u5ea6\u5b66\u4e60\u8bfe\u7a0b\u8d44\u6599\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aNYU 2014\u5e74\u7684\u6df1\u5ea6\u5b66\u4e60\u8bfe\u7a0b\u8d44\u6599\uff0c\u6709\u89c6\u9891<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/memect\/hao\/blob\/master\/awesome\/computer-vision-dataset.md\">\u300a\u8ba1\u7b97\u673a\u89c6\u89c9\u6570\u636e\u96c6\u4e0d\u5b8c\u5168\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8ba1\u7b97\u673a\u89c6\u89c9\u6570\u636e\u96c6\u4e0d\u5b8c\u5168\u6c47\u603b<\/p>\n<ul>\n<li><a href=\"http:\/\/mloss.org\/software\/\">\u300aMachine Learning Open Source Software\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u673a\u5668\u5b66\u4e60\u5f00\u6e90\u8f6f\u4ef6<\/p>\n<ul>\n<li><a href=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvm\/\">\u300aLIBSVM\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aA Library for Support Vector Machines<\/p>\n<ul>\n<li><a href=\"http:\/\/www.support-vector-machines.org\/index.html\">\u300aSupport Vector Machines\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a<a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/files.cnblogs.com\/tekson\/%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E4%B9%8B%E7%BB%8F%E5%85%B8%E7%AE%97%E6%B3%95.doc\">\u6570\u636e\u6316\u6398\u5341\u5927\u7ecf\u5178\u7b97\u6cd5<\/a>\u4e4b\u4e00<\/p>\n<ul>\n<li><a href=\"http:\/\/meta-guide.com\/software-meta-guide\/100-best-github-deep-learning\/\">\u300a100 Best GitHub: Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1agithub\u4e0a\u9762100\u4e2a\u975e\u5e38\u68d2\u7684\u9879\u76ee<\/p>\n<ul>\n<li><a href=\"http:\/\/archive.ics.uci.edu\/ml\">\u300a\u52a0\u5dde\u5927\u5b66\u6b27\u6587\u5206\u6821(UCI)\u673a\u5668\u5b66\u4e60\u6570\u636e\u96c6\u4ed3\u5e93\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u5f53\u524d\u52a0\u5dde\u5927\u5b66\u6b27\u6587\u5206\u6821\u4e3a\u673a\u5668\u5b66\u4e60\u793e\u533a\u7ef4\u62a4\u7740306\u4e2a\u6570\u636e\u96c6\u3002<a href=\"http:\/\/archive.ics.uci.edu\/ml\/datasets.html\">\u67e5\u8be2\u6570\u636e\u96c6<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/cs.stanford.edu\/people\/karpathy\/\">\u300aAndrej Karpathy\u4e2a\u4eba\u4e3b\u9875\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aAndrej Karpathy \u662f\u65af\u5766\u798f\u5927\u5b66Li Fei-Fei\u7684\u535a\u58eb\u751f\uff0c\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u5728\u56fe\u50cf\u3001\u89c6\u9891\u8bed\u4e49\u5206\u6790\u9886\u57df\u53d6\u5f97\u4e86\u79d1\u7814\u548c\u5de5\u7a0b\u4e0a\u7684\u7a81\u7834\uff0c\u53d1\u7684\u6587\u7ae0\u4e0d\u591a\uff0c\u4f46\u6bcf\u4e2a\u90fd\u5f88\u624e\u5b9e\uff0c\u5728\u6bcf\u4e00\u4e2a\u95ee\u9898\u4e0a\u90fd\u505a\u5230\u4e86state-of-art.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs.stanford.edu\/people\/karpathy\/convnetjs\/demo\/rldemo.html\">\u300aAndrej Karpathy\u7684\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u6f14\u793a\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aAndrej Karpathy\u7684\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u6f14\u793a\uff0c<a href=\"http:\/\/arxiv.org\/pdf\/1312.5602v1.pdf\">\u8bba\u6587\u5728\u8fd9\u91cc<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.52nlp.cn\/cikm-competition-topdata\">\u300aCIKM\u6570\u636e\u6316\u6398\u7ade\u8d5b\u593a\u51a0\u7b97\u6cd5-\u9648\u8fd0\u6587\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aCIKM Cup(\u6216\u8005\u79f0\u4e3aCIKM Competition)\u662fACM CIKM\u4e3e\u529e\u7684\u56fd\u9645\u6570\u636e\u6316\u6398\u7ade\u8d5b\u7684\u540d\u79f0\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.toronto.edu\/%7Ehinton\/\">\u300aGeoffrey E. Hinton\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u6770\u5f17\u91cc\u00b7\u57c3\u5f17\u91cc\u65af\u7279\u00b7\u8f9b\u987f FRS\u662f\u4e00\u4f4d\u82f1\u56fd\u51fa\u751f\u7684\u8ba1\u7b97\u673a\u5b66\u5bb6\u548c\u5fc3\u7406\u5b66\u5bb6\uff0c\u4ee5\u5176\u5728\u795e\u7ecf\u7f51\u7edc\u65b9\u9762\u7684\u8d21\u732e\u95fb\u540d\u3002\u8f9b\u987f\u662f\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u548c\u5bf9\u6bd4\u6563\u5ea6\u7b97\u6cd5\u7684\u53d1\u660e\u4eba\u4e4b\u4e00\uff0c\u4e5f\u662f\u6df1\u5ea6\u5b66\u4e60\u7684\u79ef\u6781\u63a8\u52a8\u8005.<\/p>\n<ul>\n<li><a href=\"http:\/\/cikm2014.fudan.edu.cn\/cikm2014\/Tpl\/Public\/slides\/CIKM14_tutorial_slides_6.pdf\">\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\u4e0e\u5b9e\u9645\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u5fae\u8f6f\u7814\u7a76\u9662\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u4e2d\u5fc3\u5728CIKM2014 \u4e0a\u5173\u4e8e\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\u4e0e\u5b9e\u9645\u300b\u6559\u5b66\u8bb2\u5ea7\u7684\u5e7b\u706f\u7247<\/p>\n<ul>\n<li><a href=\"http:\/\/eugenezhulenev.com\/blog\/2014\/11\/14\/stock-price-prediction-with-big-data-and-machine-learning\/\">\u300a\u7528\u5927\u6570\u636e\u548c\u673a\u5668\u5b66\u4e60\u505a\u80a1\u7968\u4ef7\u683c\u9884\u6d4b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a \u672c\u6587\u57fa\u4e8e&lt;\u652f\u6301\u5411\u91cf\u673a\u7684\u9ad8\u9891\u9650\u4ef7\u8ba2\u5355\u7684\u52a8\u6001\u5efa\u6a21&gt;\u91c7\u7528\u4e86 Apache Spark\u548cSpark MLLib\u4ece\u7ebd\u7ea6\u80a1\u7968\u4ea4\u6613\u6240\u7684\u8ba2\u5355\u65e5\u5fd7\u6570\u636e\u6784\u5efa\u4ef7\u683c\u8fd0\u52a8\u9884\u6d4b\u6a21\u578b\u3002(\u80a1\u7968\u6709\u98ce\u9669\uff0c\u6295\u8d44\u8c28\u614e)GitHub\u6e90\u4ee3\u7801\u6258\u7ba1<a href=\"https:\/\/github.com\/ezhulenev\/orderbook-dynamics\">\u5730\u5740<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/dataunion.org\/?p=2011\">\u300a\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u82e5\u5e72\u7406\u8bba\u95ee\u9898\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u5f90\u5b97\u672c \u9662\u58eb\u5c06\u4e8e\u70ed\u7231\u673a\u5668\u5b66\u4e60\u7684\u5c0f\u4f19\u4f34\u4e00\u8d77\u63a2\u8ba8\u6709\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u51e0\u4e2a\u7406\u8bba\u6027\u95ee\u9898\uff0c\u5e76\u7ed9\u51fa\u4e00\u4e9b\u6709\u610f\u4e49\u7684\u7ed3\u8bba\u3002\u6700\u540e\u901a\u8fc7\u4e00\u4e9b\u5b9e\u4f8b\u6765\u8bf4\u660e\u8fd9\u4e9b\u7406\u8bba\u95ee\u9898\u7684\u7269\u7406\u610f\u4e49\u548c\u5b9e\u9645\u5e94\u7528\u4ef7\u503c\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/vdisk.weibo.com\/s\/D2szyg_bBVM0\">\u300a\u6df1\u5ea6\u5b66\u4e60\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u5e94\u7528\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4f5c\u8005\u8fd8\u8457\u6709\u300a\u8fd9\u5c31\u662f\u641c\u7d22\u5f15\u64ce\uff1a\u6838\u5fc3\u6280\u672f\u8be6\u89e3\u300b\u4e00\u4e66\uff0c\u4e3b\u8981\u662f\u4ecb\u7ecd\u5e94\u7528\u5c42\u7684\u4e1c\u897f<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.ubc.ca\/%7Enando\/340-2012\/index.php\">\u300aUndergraduate machine learning at UBC\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.sina.com.cn\/s\/blog_6ae183910101h4jr.html\">\u300a\u4eba\u8138\u8bc6\u522b\u5fc5\u8bfb\u7684N\u7bc7\u6587\u7ae0\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4eba\u8138\u8bc6\u522b\u5fc5\u8bfb\u6587\u7ae0\u63a8\u8350<\/p>\n<ul>\n<li><a href=\"http:\/\/semocean.com\/%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E7%BB%8F%E5%85%B8%E8%AE%BA%E6%96%87%E6%96%87%E7%8C%AE%E5%8F%8A%E8%B5%84%E6%96%99\/\">\u300a\u63a8\u8350\u7cfb\u7edf\u7ecf\u5178\u8bba\u6587\u6587\u732e\u53ca\u4e1a\u754c\u5e94\u7528\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u63a8\u8350\u7cfb\u7edf\u7ecf\u5178\u8bba\u6587\u6587\u732e<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.sina.com.cn\/s\/blog_6ae183910101h4jr.html\">\u300a\u4eba\u8138\u8bc6\u522b\u5fc5\u8bfb\u7684N\u7bc7\u6587\u7ae0\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u4eba\u8138\u8bc6\u522b\u5fc5\u8bfb\u6587\u7ae0\u63a8\u8350<\/p>\n<ul>\n<li><a href=\"http:\/\/see.xidian.edu.cn\/vipsl\/MLA2014\/program.htm\">\u300a\u7b2c\u5341\u4e8c\u5c4a\u4e2d\u56fd&#8221;\u673a\u5668\u5b66\u4e60\u53ca\u5176\u5e94\u7528&#8221;\u7814\u8ba8\u4f1aPPT\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u7b2c\u5341\u4e8c\u5c4a\u4e2d\u56fd&#8221;\u673a\u5668\u5b66\u4e60\u53ca\u5176\u5e94\u7528&#8221;\u7814\u8ba8\u4f1aPPT<\/p>\n<ul>\n<li><a href=\"http:\/\/ocw.sjtu.edu.cn\/G2S\/OCW\/cn\/CourseDetails.htm?Id=398\">\u300a\u7edf\u8ba1\u673a\u5668\u5b66\u4e60\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u7edf\u8ba1\u5b66\u4e60\u662f\u5173\u4e8e\u8ba1\u7b97\u673a\u57fa\u4e8e\u6570\u636e\u6784\u5efa\u7684\u6982\u7387\u7edf\u8ba1\u6a21\u578b\u5e76\u8fd0\u7528\u6a21\u578b\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u6d4b\u548c\u5206\u6790\u7684\u4e00\u95e8\u79d1\u5b66\uff0c\u7edf\u8ba1\u5b66\u4e60\u4e5f\u6210\u4e3a\u7edf\u8ba1\u673a\u5668\u5b66\u4e60\u3002\u8bfe\u7a0b\u6765\u81ea\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66<\/p>\n<ul>\n<li><a href=\"http:\/\/ocw.sjtu.edu.cn\/G2S\/OCW\/cn\/CourseDetails.htm?Id=397\">\u300a\u673a\u5668\u5b66\u4e60\u5bfc\u8bba\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u673a\u5668\u5b66\u4e60\u7684\u76ee\u6807\u662f\u5bf9\u8ba1\u7b97\u673a\u7f16\u7a0b\uff0c\u4ee5\u4fbf\u4f7f\u7528\u6837\u672c\u6570\u636e\u6216\u4ee5\u5f80\u7684\u7ecf\u9a8c\u6765\u89e3\u51b3\u7ed9\u5b9a\u7684\u95ee\u9898.<\/p>\n<ul>\n<li><a href=\"http:\/\/cikm2014.fudan.edu.cn\/\">\u300aCIKM 2014\u4e3b\u9898\u62a5\u544a\u7684\u5e7b\u706f\u7247\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1aCIKM 2014 Jeff Dean\u3001Qi Lu\u3001Gerhard Weikum\u7684\u4e3b\u9898\u62a5\u544a\u7684\u5e7b\u706f\u7247\uff0c Alex Smola\u3001Limsoon Wong\u3001Tong Zhang\u3001Chih-Jen Lin\u7684Industry Track\u62a5\u544a\u7684\u5e7b\u706f\u7247<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning.net\/software_links\/\">\u300a\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u6709\u8da3\u7684\u5f00\u6e90\u9879\u76ee\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u90e8\u5206\u4e2d\u6587<a href=\"http:\/\/code.csdn.net\/news\/2822818\">\u5217\u8868<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/suipingsp\/article\/details\/41645779\">\u300a\u673a\u5668\u5b66\u4e60\u7ecf\u5178\u7b97\u6cd5\u8be6\u89e3\u53caPython\u5b9e\u73b0&#8211;\u57fa\u4e8eSMO\u7684SVM\u5206\u7c7b\u5668\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6b64\u5916\u4f5c\u8005\u8fd8\u6709\u4e00\u7bc7<a href=\"http:\/\/blog.csdn.net\/suipingsp\/article\/details\/41722435\">\u5143\u7b97\u6cd5\u3001AdaBoost\u3000python\u5b9e\u73b0\u6587\u7ae0<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/aria42.com\/blog\/2014\/12\/understanding-lbfgs\/\">\u300aNumerical Optimization: Understanding L-BFGS\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u52a0\u5dde\u4f2f\u514b\u5229\u5927\u5b66\u535a\u58ebAria Haghighi\u5199\u4e86\u4e00\u7bc7\u8d85\u8d5e\u7684\u6570\u503c\u4f18\u5316\u535a\u6587\uff0c\u4ece\u725b\u987f\u6cd5\u8bb2\u5230\u62df\u725b\u987f\u6cd5\uff0c\u518d\u8bb2\u5230BFGS\u4ee5\u53caL-BFGS, \u56fe\u6587\u5e76\u8302\uff0c\u8fd8\u6709\u4f2a\u4ee3\u7801\u3002\u5f3a\u70c8\u63a8\u8350\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.goldencui.org\/2014\/12\/02\/%E7%AE%80%E6%98%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%96%B9%E6%B3%95%E6%A6%82%E8%BF%B0%EF%BC%88%E4%B8%80%EF%BC%89\/\">\u300a\u7b80\u660e\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u6982\u8ff0\uff08\u4e00\uff09\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd8\u6709\u7eed\u96c6<a href=\"http:\/\/www.goldencui.org\/2014\/12\/06\/%E7%AE%80%E6%98%8E%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%96%B9%E6%B3%95%E6%A6%82%E8%BF%B0%EF%BC%88%E4%BA%8C%EF%BC%89\/\">\u7b80\u660e\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u6982\u8ff0\uff08\u4e8c\uff09<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.johndcook.com\/blog\/r_language_for_programmers\/\">\u300aR language for programmers\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\uff32\u8bed\u8a00\u7a0b\u5e8f\u5458\u79c1\u4eba\u5b9a\u5236\u7248<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cheyun.com\/content\/news\/4051\">\u300a\u8c37\u6b4c\u5730\u56fe\u89e3\u5bc6\uff1a\u5927\u6570\u636e\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u7ed3\u5408\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8c37\u6b4c\u5730\u56fe\u89e3\u5bc6<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/u012690204\/article\/details\/41853731\">\u300a\u7a7a\u95f4\u6570\u636e\u6316\u6398\u5e38\u7528\u65b9\u6cd5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7a7a\u95f4\u6570\u636e\u6316\u6398\u5e38\u7528\u65b9\u6cd5<\/p>\n<ul>\n<li><a href=\"https:\/\/www.kaggle.com\/c\/word2vec-nlp-tutorial\">\u300aUse Google&#8217;s Word2Vec for movie reviews\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Kaggle\u65b0\u6bd4\u8d5b \u201dWhen bag of words meets bags of popcorn\u201c aka \u201d\u8fb9\u5b66\u8fb9\u7528word2vec\u548cdeep learning\u505aNLP\u201c \u91cc\u9762\u5168\u5957\u6559\u7a0b\u6559\u4e00\u6b65\u4e00\u6b65\u7528python\u548cgensim\u5305\u7684word2vec\u6a21\u578b\uff0c\u5e76\u5728\u5b9e\u9645\u6bd4\u8d5b\u91cc\u9762\u6bd4\u8c03\u53c2\u6570\u548c\u6e05\u6570\u636e\u3002 \u5982\u679c\u5df2\u88c5\u8fc7gensim\u4e0d\u8981\u5fd8\u5347\u7ea7<\/p>\n<ul>\n<li><a href=\"http:\/\/pynlpir.readthedocs.org\/en\/latest\/\">\u300aPyNLPIR\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:PyNLPIR\u63d0\u4f9b\u4e86NLPIR\/ICTCLAS\u6c49\u8bed\u5206\u8bcd\u7684Python\u63a5\u53e3,\u6b64\u5916<a href=\"http:\/\/zhon.readthedocs.org\/en\/latest\/\">Zhon<\/a>\u63d0\u4f9b\u4e86\u5e38\u7528\u6c49\u5b57\u5e38\u91cf\uff0c\u5982CJK\u5b57\u7b26\u548c\u504f\u65c1\uff0c\u4e2d\u6587\u6807\u70b9\uff0c\u62fc\u97f3\uff0c\u548c\u6c49\u5b57\u6b63\u5219\u8868\u8fbe\u5f0f\uff08\u5982\u627e\u5230\u6587\u672c\u4e2d\u7684\u7e41\u4f53\u5b57\uff09<\/p>\n<ul>\n<li><a href=\"http:\/\/www.technologyreview.com\/view\/533496\/why-neural-networks-look-set-to-thrash-the-best-human-go-players-for-the-first-time\/\">\u300a\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e0b\u56f4\u68cb\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u6587\u7ae0\u8bf4\u628a\u6700\u8fd1\u6a21\u578b\u8bc6\u522b\u4e0a\u7684\u7a81\u7834\u5e94\u7528\u5230\u56f4\u68cb\u8f6f\u4ef6\u4e0a\uff0c\u625316\u4e07\u5f20\u804c\u4e1a\u68cb\u8c31\u8bad\u7ec3\u6a21\u578b\u8bc6\u522b\u529f\u80fd\u3002\u60f3\u6cd5\u4e0d\u9519\u3002\u8bad\u7ec3\u540e\u76ee\u524d\u80fd\u505a\u5230\u4e0d\u7528\u8ba1\u7b97\uff0c\u53ea\u770b\u68cb\u76d8\u5c31\u7ed9 \u51fa\u4e0b\u4e00\u6b65\uff0c\u5927\u7ea610\u7ea7\u68cb\u529b\u3002\u4f46\u8fd9\u7bc7\u6587\u7ae0\u592a\u8fc7\u4e50\u89c2\uff0c\u8bf4\u4ec0\u4e48\u4eba\u7c7b\u7684\u6700\u540e\u4e00\u5757\u5821\u5792\u9a6c\u4e0a\u5c31\u8981\u8de8\u6389\u4e86\u3002\u8bdd\u8bf4\u5f97\u592a\u65e9\u3002\u4e0d\u8fc7\uff0c\u5982\u679c\u4e0e\u522b\u7684\u8f6f\u4ef6\u7ed3\u5408\u5e94\u8be5\u8fd8\u6709\u6f5c\u529b\u53ef\u6316\u3002@\u4e07 \u7cbe\u6cb9\u58a8\u7eff<\/p>\n<ul>\n<li><a href=\"http:\/\/mrtz.org\/blog\/the-nips-experiment\/\">\u300aNIPS\u5ba1\u7a3f\u5b9e\u9a8c\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:UT Austin\u6559\u6388Eric Price\u5173\u4e8e\u4eca\u5e74NIPS\u5ba1\u7a3f\u5b9e\u9a8c\u7684\u8be6\u7ec6\u5206\u6790,\u4ed6\u8868\u793a\uff0c\u6839\u636e\u8fd9\u6b21\u5b9e\u9a8c\u7684\u7ed3\u679c\uff0c\u5982\u679c\u4eca\u5e74NIPS\u91cd\u65b0\u5ba1\u7a3f\u7684\u8bdd\uff0c\u4f1a\u6709\u4e00\u534a\u7684\u8bba\u6587\u88ab\u62d2\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdnuggets.com\/2014\/12\/top-kdnuggets-2014-analytics-big-data-science-stories.html\">\u300a2014\u5e74\u6700\u4f73\u7684\u5927\u6570\u636e\uff0c\u6570\u636e\u79d1\u5b66\u6587\u7ae0\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:KDNuggets\u5206\u522b\u603b\u7ed3\u4e862014\u5e7414\u4e2a\u9605\u8bfb\u6700\u591a\u4ee5\u53ca\u5206\u4eab\u6700\u591a\u7684\u6587\u7ae0\u3002\u6211\u4eec\u4ece\u4e2d\u53ef\u4ee5\u770b\u5230\u591a\u4e2a\u4e3b\u9898\u2014\u2014\u6df1\u5ea6\u5b66\u4e60\uff0c\u6570\u636e\u79d1\u5b66\u5bb6\u804c\u4e1a\uff0c\u6559\u80b2\u548c\u85aa\u916c\uff0c\u5b66\u4e60\u6570\u636e\u79d1\u5b66\u7684\u5de5\u5177\u6bd4\u5982R\u548cPython\u4ee5\u53ca\u5927\u4f17\u6295\u7968\u7684\u6700\u53d7\u6b22\u8fce\u7684\u6570\u636e\u79d1\u5b66\u548c\u6570\u636e\u6316\u6398\u8bed\u8a00<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/suipingsp\/article\/details\/42101139\">\u300a\u673a\u5668\u5b66\u4e60\u7ecf\u5178\u7b97\u6cd5\u8be6\u89e3\u53caPython\u5b9e\u73b0&#8211;\u7ebf\u6027\u56de\u5f52\uff08Linear Regression\uff09\u7b97\u6cd5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Python\u5b9e\u73b0\u7ebf\u6027\u56de\u5f52,\u4f5c\u8005\u8fd8\u6709\u5176\u4ed6\u5f88\u68d2\u7684\u6587\u7ae0\u63a8\u8350\u53ef\u4ee5\u770b\u770b<\/p>\n<ul>\n<li><a href=\"http:\/\/download.csdn.net\/album\/detail\/1367\/1\/1\">\u300a2014\u4e2d\u56fd\u5927\u6570\u636e\u6280\u672f\u5927\u4f1a33\u4f4d\u6838\u5fc3\u4e13\u5bb6\u6f14\u8bb2PDF\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a2014\u4e2d\u56fd\u5927\u6570\u636e\u6280\u672f\u5927\u4f1a33\u4f4d\u6838\u5fc3\u4e13\u5bb6\u6f14\u8bb2PDF\u4e0b\u8f7d<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1412.5335\">\u300a\u4f7f\u7528RNN\u548cParagraph Vector\u505a\u60c5\u611f\u5206\u6790\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd\uff1a\u8fd9\u662fT. Mikolov &amp; Y. Bengio\u6700\u65b0\u8bba\u6587Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews \uff0c\u4f7f\u7528RNN\u548cPV\u5728\u60c5\u611f\u5206\u6790\u6548\u679c\u4e0d\u9519\uff0c\uff3b\u9879\u76ee\u4ee3\u7801\uff3d(<a href=\"https:\/\/github.com\/mesnilgr\/iclr15%29%E5%85%AC%E5%B8%83%E5%9C%A8github%28%E7%9B%AE%E5%89%8D%E6%98%AF%E7%A9%BA%E7%9A%84%29%E3%80%82%E8%BF%99%E6%84%8F%E5%91%B3%E7%9D%80Paragraph\">https:\/\/github.com\/mesnilgr\/iclr15)\u516c\u5e03\u5728github(\u76ee\u524d\u662f\u7a7a\u7684)\u3002\u8fd9\u610f\u5473\u7740Paragraph<\/a> Vector\u7ec8\u4e8e\u63ed\u5f00\u9762\u7eb1\u4e86\u561b\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/pan.baidu.com\/s\/1o6I9S18\">\u300aNLPIR\/ICTCLAS2015\u5206\u8bcd\u7cfb\u7edf\u5927\u4f1a\u4e0a\u7684\u6280\u672f\u6f14\u8bb2 \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NLPIR\/ICTCLAS2015\u5206\u8bcd\u7cfb\u7edf\u53d1\u5e03\u4e0e\u7528\u6237\u4ea4\u6d41\u5927\u4f1a\u4e0a\u7684\u6f14\u8bb2\uff0c\u8bf7\u66f4\u591a\u670b\u53cb\u68c0\u9605\u65b0\u7248\u5206\u8bcd\u5427\u3002 \u6211\u4eec\u5b9e\u9a8c\u5ba4\u540c\u5b66\u7684\u6f14\u8bb2\u5305\u62ec\uff1a<a href=\"http:\/\/pan.baidu.com\/s\/1hqotVVm\">\u5b59\u68a6\u59dd-\u57fa\u4e8e\u8bc4\u8bba\u89c2\u70b9\u6316\u6398\u7684\u5546\u54c1\u641c\u7d22\u6280\u672f\u7814\u7a76<\/a> <a href=\"http:\/\/pan.baidu.com\/s\/1pJ9KuZh\">\u674e\u7136-\u4e3b\u9898\u6a21\u578b<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/code-poet\/80ea3ec3c471\">\u300aMachine Learning is Fun!\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Convex Neural Networks \u89e3\u51b3\u7ef4\u6570\u707e\u96be<\/p>\n<ul>\n<li><a href=\"http:\/\/dataunion.org\/?p=5395\">\u300aCNN\u7684\u53cd\u5411\u6c42\u5bfc\u53ca\u7ec3\u4e60\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4ecb\u7ecdCNN\u53c2\u6570\u5728\u4f7f\u7528bp\u7b97\u6cd5\u65f6\u8be5\u600e\u4e48\u8bad\u7ec3\uff0c\u6bd5\u7adfCNN\u4e2d\u6709\u5377\u79ef\u5c42\u548c\u4e0b\u91c7\u6837\u5c42\uff0c\u867d\u7136\u548cMLP\u7684bp\u7b97\u6cd5\u672c\u8d28\u4e0a\u76f8\u540c\uff0c\u4f46\u5f62\u5f0f\u4e0a\u8fd8\u662f\u6709\u4e9b\u533a\u522b\u7684\uff0c\u5f88\u663e\u7136\u5728\u5b8c\u6210CNN\u53cd\u5411\u4f20\u64ad\u524d\u4e86\u89e3bp\u7b97\u6cd5\u662f\u5fc5\u987b\u7684\u3002\u6b64\u5916\u4f5c\u8005\u4e5f\u505a\u4e86\u4e00\u4e2a<a href=\"http:\/\/www.cnblogs.com\/tornadomeet\/archive\/2012\/05\/24\/2515980.html\">\u8d44\u6e90\u96c6:\u673a\u5668\u5b66\u4e60\uff0c\u6df1\u5ea6\u5b66\u4e60\uff0c\u89c6\u89c9\uff0c\u6570\u5b66\u7b49<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/cloudflare\/ahocorasick\">\u300a\u6b63\u5219\u8868\u8fbe\u5f0f\u4f18\u5316\u6210Trie\u6811 \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5982\u679c\u8981\u5728\u4e00\u7bc7\u6587\u7ae0\u4e2d\u5339\u914d\u5341\u4e07\u4e2a\u5173\u952e\u8bcd\u600e\u4e48\u529e\uff1f<a href=\"https:\/\/github.com\/cloudflare\/ahocorasick\">Aho-Corasick<\/a> \u7b97\u6cd5\u5229\u7528\u6dfb\u52a0\u4e86\u8fd4\u56de\u8fb9\u7684Trie\u6811\uff0c\u80fd\u591f\u5728\u7ebf\u6027\u65f6\u95f4\u5185\u5b8c\u6210\u5339\u914d\u3002 \u4f46\u5982\u679c\u5339\u914d\u5341\u4e07\u4e2a\u6b63\u5219\u8868\u8fbe\u5f0f\u5462 \uff1f \u8fd9\u65f6\u5019\u53ef\u4ee5\u7528\u5230\u628a\u591a\u4e2a\u6b63\u5219\u4f18\u5316\u6210Trie\u6811\u7684\u65b9\u6cd5\uff0c\u5982\u65e5\u672c\u4eba\u5199\u7684 <a href=\"http:\/\/search.cpan.org\/%7Edankogai\/Regexp-Trie-0.02\/\">Regexp::Trie<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/jmozah.github.io\/links\/\">\u300aDeep learning Reading List\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u9605\u8bfb\u6e05\u5355<\/p>\n<ul>\n<li><a href=\"http:\/\/caffe.berkeleyvision.org\/\">\u300aCaffe\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Caffe\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u4f5c\u8005\u76ee\u524d\u5728google\u5de5\u4f5c\uff0c\u4f5c\u8005\u4e3b\u9875<a href=\"http:\/\/daggerfs.com\/index.html\">Yangqing Jia (\u8d3e\u626c\u6e05)<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/BVLC\/caffe\/blob\/master\/models\/bvlc_googlenet\/readme.md\">\u300aGoogLeNet\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684Caffe\u590d\u73b0 \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:2014 ImageNet\u51a0\u519bGoogLeNet\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684Caffe\u590d\u73b0\u6a21\u578b,<a href=\"http:\/\/arxiv.org\/abs\/1409.4842\">GoogleNet\u8bba\u6587<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/jbarrow\/LambdaNet\">\u300aLambdaNet\uff0cHaskell\u5b9e\u73b0\u7684\u5f00\u6e90\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5e93 \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:LambdaNetLambdaNet\u662f\u7531Haskell\u5b9e\u73b0\u7684\u4e00\u4e2a\u5f00\u6e90\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u5e93\uff0c\u5b83\u62bd\u8c61\u4e86\u7f51\u7edc\u521b\u5efa\u3001\u8bad\u7ec3\u5e76\u4f7f\u7528\u4e86\u9ad8\u9636\u51fd\u6570\u3002\u8be5\u5e93\u8fd8\u63d0\u4f9b\u4e86\u4e00\u7ec4\u9884\u5b9a\u4e49\u51fd\u6570\uff0c\u7528\u6237\u53ef\u4ee5\u91c7\u53d6\u591a\u79cd\u65b9\u5f0f\u7ec4\u5408\u8fd9\u4e9b\u51fd\u6570\u6765\u64cd\u4f5c\u73b0\u5b9e\u4e16\u754c\u6570\u636e\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/wenku.baidu.com\/course\/view\/49e8b8f67c1cfad6195fa705\">\u300a\u767e\u5ea6\u4f59\u51ef&amp;\u5f20\u6f7c\u673a\u5668\u5b66\u4e60\u89c6\u9891\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5982\u679c\u4f60\u4ece\u4e8b\u4e92\u8054\u7f51\u641c\u7d22\uff0c\u5728\u7ebf\u5e7f\u544a\uff0c\u7528\u6237\u884c\u4e3a\u5206\u6790\uff0c\u56fe\u50cf\u8bc6\u522b\uff0c\u81ea\u7136\u8bed\u8a00\u7406\u89e3\uff0c\u6216\u8005\u751f\u7269\u4fe1\u606f\u5b66\uff0c\u667a\u80fd\u673a\u5668\u4eba\uff0c\u91d1\u878d\u9884\u6d4b\uff0c\u90a3\u4e48\u8fd9\u95e8\u6838\u5fc3\u8bfe\u7a0b\u4f60\u5fc5\u987b\u6df1\u5165\u4e86\u89e3\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/v.youku.com\/v_show\/id_XODQzNDM4MDg0.html\">\u300a\u6768\u5f3a\u5728TEDxNanjing\u8c08\u667a\u80fd\u7684\u8d77\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:&#8221;\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u5206\u8bb8\u591a\u6d41\u6d3e\u3002\u5176\u4e2d\u4e4b\u4e00\u4ee5IBM\u4e3a\u4ee3\u8868\uff0c\u8ba4\u4e3a\u53ea\u8981\u6709\u9ad8\u6027\u80fd\u8ba1\u7b97\u5c31\u53ef\u5f97\u5230\u667a\u80fd\uff0c\u4ed6\u4eec\u7684\u2018\u6df1\u84dd\u2019\u51fb\u8d25\u4e86\u4e16\u754c\u8c61\u68cb\u51a0\u519b\uff1b\u53e6\u4e00\u6d41\u6d3e\u8ba4\u4e3a\u667a \u80fd\u6765\u81ea\u52a8\u7269\u672c\u80fd\uff1b\u8fd8\u6709\u4e2a\u5f88\u5f3a\u7684\u6d41\u6d3e\u8ba4\u4e3a\u53ea\u8981\u627e\u6765\u4e13\u5bb6\uff0c\u628a\u4ed6\u4eec\u7684\u601d\u7ef4\u7528\u903b\u8f91\u4e00\u6761\u6761\u5199\u4e0b\uff0c\u653e\u5230\u8ba1\u7b97\u673a\u91cc\u5c31\u884c\u2026\u2026&#8221; \u6768\u5f3a\u5728TEDxNanjing\u8c08\u667a\u80fd\u7684\u8d77\u6e90<\/p>\n<ul>\n<li><a href=\"http:\/\/www.machinelearning.org\/proceedings\/icml2006\/047_Connectionist_Tempor.pdf\">\u300a\u6df1\u5ea6RNN\/LSTM\u7528\u4e8e\u7ed3\u6784\u5316\u5b66\u4e60 0)\u5e8f\u5217\u6807\u6ce8Connectionist Temporal ClassificationICML06\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:1)\u673a\u5668\u7ffb\u8bd1<a href=\"http:\/\/papers.nips.cc\/paper\/5346-sequence-to-sequence-learning-with-neural-networks.pdf\">Sequence to Sequence NIPS14<\/a> 2)\u6210\u5206\u53e5\u6cd5<a href=\"http:\/\/arxiv.org\/pdf\/1412.7449v1.pdf\">GRAMMAR AS FOREIGN LANGUAGE<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/techblog.youdao.com\/?p=915\">\u300aDeep Learning\u5b9e\u6218\u4e4bword2vec\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7f51\u6613\u6709\u9053\u7684\u4e09\u4f4d\u5de5\u7a0b\u5e08\u5199\u7684word2vec\u7684\u89e3\u6790\u6587\u6863\uff0c\u4ece\u57fa\u672c\u7684\u8bcd\u5411\u91cf\/\u7edf\u8ba1\u8bed\u8a00\u6a21\u578b-&gt;NNLM-&gt;Log-Linear \/Log-Bilinear-&gt;\u5c42\u6b21\u5316Log-Bilinear\uff0c\u5230CBOW\u548cSkip-gram\u6a21\u578b\uff0c\u518d\u5230word2vec\u7684\u5404\u79cdtricks\uff0c \u516c\u5f0f\u63a8\u5bfc\u4e0e\u4ee3\u7801\uff0c\u57fa\u672c\u4e0a\u662f\u7f51\u4e0a\u5173\u4e8eword2vec\u8d44\u6599\u7684\u5927\u5408\u96c6\uff0c\u5bf9word2vec\u611f\u5174\u8da3\u7684\u670b\u53cb\u53ef\u4ee5\u770b\u770b<\/p>\n<ul>\n<li><a href=\"http:\/\/mloss.org\/software\/\">\u300aMachine learning open source software\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5f00\u6e90\u8f6f\u4ef6,\u6536\u5f55\u4e86\u5404\u79cd\u673a\u5668\u5b66\u4e60\u7684\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\u5b66\u672f\u4e0e\u5546\u4e1a\u7684\u5f00\u6e90\u8f6f\u4ef6\uff0e\u4e0e\u6b64\u7c7b\u4f3c\u7684\u8fd8\u6709\u5f88\u591a\u4f8b\u5982:<a href=\"http:\/\/www.dmoz.org\/Computers\/Artificial_Intelligence\/Machine_Learning\/Software\/\">DMOZ &#8211; Computers: Artificial Intelligence: Machine Learning: Software<\/a>,\u3000<a href=\"http:\/\/www.csie.ntu.edu.tw\/%7Ecjlin\/libsvm\/\">LIBSVM &#8212; A Library for Support Vector Machines<\/a>,\u3000<a href=\"http:\/\/www.cs.waikato.ac.nz\/ml\/weka\/\">Weka 3: Data Mining Software in Java<\/a>,\u3000<a href=\"http:\/\/scikit-learn.org\/stable\/\">scikit-learn:Machine Learning in Python<\/a>,\u3000<a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.nltk.org\">Natural Language Toolkit:NLTK<\/a>,\u3000<a href=\"http:\/\/mallet.cs.umass.edu\/\">MAchine Learning for LanguagE Toolkit<\/a>,\u3000<a href=\"http:\/\/orange.biolab.si\/\">Data Mining &#8211; Fruitful and Fun<\/a>,\u3000<a href=\"http:\/\/opencv.willowgarage.com\/wiki\/\">Open Source Computer Vision Library<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.guokr.com\/post\/512037\/\">\u300a\u673a\u5668\u5b66\u4e60\u5165\u95e8\u8005\u5b66\u4e60\u6307\u5357\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f5c\u8005\u662f\u8ba1\u7b97\u673a\u7814\u4e8c(\u5199\u6587\u7ae0\u7684\u65f6\u5019\uff0c\u73b0\u5728\u662f2015\u5e74\u4e86\u5e94\u8be5\u5feb\u8981\u6bd5\u4e1a\u4e86)\uff0c\u4e13\u4e1a\u65b9\u5411\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0e\u8fd9\u662f\u4e00\u70b9\u4ed6\u7684\u7ecf\u9a8c\u4e4b\u8c08\uff0e\u5bf9\u4e8e\u5165\u95e8\u7684\u670b\u53cb\u6216\u8bb8\u4f1a\u6709\u5e2e\u52a9<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/a-tour-of-machine-learning-algorithms\/\">\u300aA Tour of Machine Learning Algorithms\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u7bc7\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5206\u7c7b\u7684\u6587\u7ae0\uff0c\u975e\u5e38\u597d<\/p>\n<ul>\n<li><a href=\"http:\/\/ml.memect.com\/download\/2014.zip\">\u300a2014\u5e74\u7684\u300a\u673a\u5668\u5b66\u4e60\u65e5\u62a5\u300b\u5927\u5408\u96c6\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u65e5\u62a5\u91cc\u9762\u63a8\u8350\u5f88\u591a\u5185\u5bb9\uff0c\u5728\u8fd9\u91cc\u6709\u4e00\u90e8\u5206\u7684\u4f18\u79c0\u5185\u5bb9\u5c31\u662f\u6765\u81ea\u673a\u5668\u5b66\u4e60\u65e5\u62a5\uff0e<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/abcjennifer\/article\/details\/42493493\">\u300a Image classification with deep learning\u5e38\u7528\u6a21\u578b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u7bc7\u5173\u4e8e\u56fe\u50cf\u5206\u7c7b\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\u7684\u6587\u7ae0<\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/en-us\/people\/deng\/\">\u300a\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff1a\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f5c\u8005\u4e0eBengio\u7684\u5144\u5f1fSamy 09\u5e74\u5408\u7f16\u300a\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff1a\u6838\u65b9\u6cd5\u300b 3\uff09\u674e\u5f00\u590d1989\u5e74\u300a\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\u300b\u4e13\u8457\uff0c\u5176\u535a\u5bfc\u300194\u5e74\u56fe\u7075\u5956\u5f97\u4e3bRaj Reddy\u4f5c\u5e8f<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/heiyeshuwu\/article\/details\/42554903\">\u300aNLP\u4e2d\u7684\u4e2d\u6587\u5206\u8bcd\u6280\u672f\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4f5c\u8005\u662f360\u7535\u5546\u6280\u672f\u7ec4\u6210\u5458,\u8fd9\u662f\u4e00\u7bc7NLP\u5728\u4e2d\u6587\u5206\u8bcd\u4e2d\u7684\u5e94\u7528<\/p>\n<ul>\n<li><a href=\"http:\/\/danielnouri.org\/notes\/2014\/12\/17\/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial\/\">\u300aUsing convolutional neural nets to detect facial keypoints tutorial\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4f7f\u7528deep learning\u7684\u4eba\u8138\u5173\u952e\u70b9\u68c0\u6d4b\uff0c\u6b64\u5916\u8fd8\u6709\u4e00\u7bc7<a href=\"https:\/\/www.kaggle.com\/c\/facial-keypoints-detection\/details\/deep-learning-tutorial\">AWS\u90e8\u7f72\u6559\u7a0b<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.amazon.cn\/Advanced-Structured-Prediction-Nowozin-Sebastian\/dp\/0262028379\">\u300a\u4e66\u7c4d\u63a8\u8350:Advanced Structured Prediction\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u7531Sebastian Nowozin\u7b49\u4eba\u7f16\u7e82MIT\u51fa\u7248\u7684\u65b0\u4e66\u300aAdvanced Structured Prediction\u300b<a href=\"http:\/\/t.cn\/RZxipKG\">http:\/\/t.cn\/RZxipKG<\/a> \uff0c\u6c47\u96c6\u4e86\u7ed3\u6784\u5316\u9884\u6d4b\u9886\u57df\u8bf8\u591a\u725b\u6587\uff0c\u6d89\u53caCV\u3001NLP\u7b49\u9886\u57df\uff0c\u503c\u5f97\u4e00\u8bfb\u3002\u7f51\u4e0a\u516c\u5f00\u7684\u51e0\u7ae0\u8349\u7a3f:<a href=\"http:\/\/www2.informatik.hu-berlin.de\/%7Ekloftmar\/publications\/strucBook.pdf\">\u4e00<\/a>,<a href=\"http:\/\/mlg.eng.cam.ac.uk\/yutian\/Publications\/ChenGelfandWelling14-HerdingBookChapter.pdf\">\u4e8c<\/a>,<a href=\"http:\/\/web.engr.oregonstate.edu\/%7Esinisa\/research\/publications\/StructPredictionChapter14.pdf\">\u4e09<\/a>,<a href=\"http:\/\/ttic.uchicago.edu\/%7Emeshi\/papers\/smoothCD_chapter.pdf\">\u56db<\/a>,<a href=\"http:\/\/www.cs.ox.ac.uk\/Stanislav.Zivny\/homepage\/publications\/zwp14mit-draft.pdf\">\u4e94<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1501.01571v1.pdf\">\u300aAn Introduction to Matrix Concentration Inequalities\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Tropp\u628a\u6570\u5b66\u5bb6\u7528\u9ad8\u6df1\u88c5\u903c\u7684\u6570\u5b66\u8bed\u8a00\u5199\u7684\u77e9\u9635\u6982\u7387\u4e0d\u7b49\u5f0f\u7528\u521d\u7b49\u7684\u65b9\u6cd5\u5199\u51fa\u6765\uff0c\u662f\u975e\u5e38\u597d\u7684\u624b\u518c\uff0c\u9886\u57df\u5185\u7684paper\u5404\u79cd\u8bc1\u660e\u90fd\u5728\u7528\u91cc\u9762\u7684\u7ed3\u679c\u3002\u867d\u8bf4\u662f\u521d\u7b49\u7684\uff0c\u4f46\u8fd8\u662f\u975e\u5e38\u7684\u96be<\/p>\n<ul>\n<li><a href=\"https:\/\/agenda.weforum.org\/2014\/12\/the-free-big-data-sources-you-should-know\/\">\u300aThe free big data sources you should know\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4e0d\u5bb9\u9519\u8fc7\u7684\u514d\u8d39\u5927\u6570\u636e\u96c6\uff0c\u6709\u4e9b\u5df2\u7ecf\u662f\u8033\u719f\u80fd\u8be6\uff0c\u6709\u4e9b\u53ef\u80fd\u8fd8\u662f\u7b2c\u4e00\u6b21\u542c\u8bf4\uff0c\u5185\u5bb9\u8de8\u8d8a\u6587\u672c\u3001\u6570\u636e\u3001\u591a\u5a92\u4f53\u7b49\uff0c\u8ba9\u4ed6\u4eec\u4f34\u4f60\u5f00\u59cb\u6570\u636e\u79d1\u5b66\u4e4b\u65c5\u5427\uff0c\u5177\u4f53\u5305 \u62ec\uff1aData.gov\u3001US Census Bureau\u3001European Union Open Data Portal\u3001Data.gov.uk\u7b49<\/p>\n<ul>\n<li><a href=\"http:\/\/yyue.blogspot.com\/2015\/01\/a-brief-overview-of-deep-learning.html\">\u300aA Brief Overview of Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8c37\u6b4c\u79d1\u5b66\u5bb6\u3001Hinton\u4eb2\u4f20\u5f1f\u5b50Ilya Sutskever\u7684\u6df1\u5ea6\u5b66\u4e60\u7efc\u8ff0\u53ca\u5b9e\u9645\u5efa\u8bae<\/p>\n<ul>\n<li><a href=\"http:\/\/nikhilbuduma.com\/2015\/01\/11\/a-deep-dive-into-recurrent-neural-networks\/\">\u300aA Deep Dive into Recurrent Neural Nets\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u975e\u5e38\u597d\u7684\u8ba8\u8bba\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u7684\u6587\u7ae0\uff0c\u8986\u76d6\u4e86RNN\u7684\u6982\u5ff5\u3001\u539f\u7406\u3001\u8bad\u7ec3\u53ca\u4f18\u5316\u7b49\u5404\u4e2a\u65b9\u9762\u5185\u5bb9\uff0c\u5f3a\u70c8\u63a8\u8350\uff01\u672c\u6587\u4f5c\u8005Nikhil Buduma\u8fd8\u6709\u4e00\u7bc7<a href=\"http:\/\/nikhilbuduma.com\/2014\/12\/29\/deep-learning-in-a-nutshell\/\">Deep Learning in a Nutshell<\/a>\u503c\u5f97\u63a8\u8350<\/p>\n<ul>\n<li><a href=\"http:\/\/qianjiye.de\/2014\/11\/machine-learning-resources\/\">\u300a\u673a\u5668\u5b66\u4e60\uff1a\u5b66\u4e60\u8d44\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u91cc\u9762\u878d\u5408\u4e86\u5f88\u591a\u7684\u8d44\u6e90\uff0c\u4f8b\u5982\u7ade\u8d5b\uff0c\u5728\u7ebf\u8bfe\u7a0b\uff0cdemo\uff0c\u6570\u636e\u6574\u5408\u7b49\u3002\u6709\u5206\u7c7b<\/p>\n<ul>\n<li><a href=\"https:\/\/www.otexts.org\/book\/sfml\">\u300aStatistical foundations of machine learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u300a\u673a\u5668\u5b66\u4e60\u7684\u7edf\u8ba1\u57fa\u7840\u300b\u5728\u7ebf\u7248\uff0c\u8be5\u624b\u518c\u5e0c\u671b\u5728\u7406\u8bba\u4e0e\u5b9e\u8df5\u4e4b\u95f4\u627e\u5230\u5e73\u8861\u70b9\uff0c\u5404\u4e3b\u8981\u5185\u5bb9\u90fd\u4f34\u6709\u5b9e\u9645\u4f8b\u5b50\u53ca\u6570\u636e\uff0c\u4e66\u4e2d\u7684\u4f8b\u5b50\u7a0b\u5e8f\u90fd\u662f\u7528R\u8bed\u8a00\u7f16\u5199\u7684\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.toptal.com\/machine-learning\/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks\">\u300aA Deep Learning Tutorial: From Perceptrons to Deep Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:IVAN VASILEV\u5199\u7684\u6df1\u5ea6\u5b66\u4e60\u5bfc\u5f15\uff1a\u4ece\u6d45\u5c42\u611f\u77e5\u673a\u5230\u6df1\u5ea6\u7f51\u7edc\u3002\u9ad8\u53ef\u8bfb<\/p>\n<ul>\n<li><a href=\"http:\/\/futureoflife.org\/static\/data\/documents\/research_priorities.pdf\">\u300aResearch priorities for robust and beneficial artificial intelligence\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9c81\u68d2\u53ca\u6709\u76ca\u7684\u4eba\u5de5\u667a\u80fd\u4f18\u5148\u7814\u7a76\u8ba1\u5212\uff1a\u4e00\u5c01\u516c\u5f00\u4fe1,\u76ee\u524d\u5df2\u7ecf\u6709Stuart Russell, Tom Dietterich, Eric Horvitz, Yann LeCun, Peter Norvig, Tom Mitchell, Geoffrey Hinton, Elon Musk\u7b49\u4eba\u7b7e\u7f72<a href=\"http:\/\/futureoflife.org\/misc\/open_letter\">The Future of Life Institute (FLI)<\/a>. \u8fd9\u5c01\u4fe1\u7684\u80cc\u666f\u662f\u6700\u8fd1\u970d\u91d1\u548cElon Musk\u63d0\u9192\u4eba\u4eec\u6ce8\u610fAI\u7684\u6f5c\u5728\u5a01\u80c1\u3002\u516c\u5f00\u4fe1\u7684\u5185\u5bb9\u662fAI\u79d1\u5b66\u5bb6\u4eec\u7ad9\u5728\u9020\u798f\u793e\u4f1a\u7684\u89d2\u5ea6\uff0c\u5c55\u671b\u4eba\u5de5\u667a\u80fd\u7684\u672a\u6765\u53d1\u5c55\u65b9\u5411\uff0c\u63d0\u51fa\u5f00\u53d1AI\u7cfb\u7edf\u7684 Verification\uff0cValidity, Security, Control\u56db\u70b9\u8981\u6c42\uff0c\u4ee5\u53ca\u9700\u8981\u6ce8\u610f\u7684\u793e\u4f1a\u95ee\u9898\u3002\u6bd5\u7adf\u5f53\u524dAI\u5728\u7ecf\u6d4e\u9886\u57df\uff0c\u6cd5\u5f8b\uff0c\u4ee5\u53ca\u9053\u5fb7\u9886\u57df\u76f8\u5173\u7814\u7a76\u8f83\u5c11\u3002\u5176\u5b9e\u8fd8\u6709\u4e00\u90e8\u7f8e\u5267<a href=\"http:\/\/tv.sohu.com\/20120925\/n353925789.shtml\">\u300a\u7591\u72af\u8ffd\u8e2a\u300b<\/a>,\u4ecb\u7ecd\u4e86AI\u7684\u6f14\u8fdb\u4ece\u4e00\u5f00\u59cb\u7684\u81ea\u6211\u5b66\u4e60\uff0c\u8fc7\u6ee4\uff0c\u56fe\u50cf\u8bc6\u522b\uff0c\u8bed\u97f3\u8bc6\u522b\u7b49\u5224\u65ad\u5371\u9669\uff0c\u5230\u7b2c\u56db\u5b63\u7684\u65f6\u5019\u51fa\u73b0\u4e86\u673a\u5668\u901a\u8fc7\u5b66\u4e60\u6210\u957f\u4e4b\u540e\u60f3\u63a7\u5236\u4e16\u754c\u7684\u72b6\u6001\u3002\u8bf4\u5230\u8fd9\u91cc\u63a8\u8350\u6536\u770b\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/metacademy.org\/\">\u300ametacademy\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u91cc\u9762\u6839\u636e\u8bcd\u6761\u63d0\u4f9b\u4e86\u8bb8\u591a\u8d44\u6e90\uff0c\u8fd8\u6709\u76f8\u5173\u77e5\u8bc6\u7ed3\u6784\uff0c\u8def\u7ebf\u56fe\uff0c\u7528\u65f6\u957f\u77ed\u7b49\u3002\u53f7\u79f0\u662f\u201d\u673a\u5668\u5b66\u4e60\u201c\u641c\u7d22\u5f15\u64ce<\/p>\n<ul>\n<li><a href=\"https:\/\/research.facebook.com\/blog\/879898285375829\/fair-open-sources-deep-learning-modules-for-torch\/\">\u300aFAIR open sources deep-learning modules for Torch\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Facebook\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u9662\uff08FAIR\uff09\u5f00\u6e90\u4e86\u4e00\u7cfb\u5217\u8f6f\u4ef6\u5e93\uff0c\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u5efa\u7acb\u66f4\u5927\u3001\u66f4\u5feb\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u5f00\u653e\u7684\u8f6f\u4ef6\u5e93\u5728 Facebook \u88ab\u79f0\u4f5c\u6a21\u5757\u3002\u7528\u5b83\u4eec\u66ff\u4ee3\u673a\u5668\u5b66\u4e60\u9886\u57df\u5e38\u7528\u7684\u5f00\u53d1\u73af\u5883 Torch \u4e2d\u7684\u9ed8\u8ba4\u6a21\u5757\uff0c\u53ef\u4ee5\u5728\u66f4\u77ed\u7684\u65f6\u95f4\u5185\u8bad\u7ec3\u66f4\u5927\u89c4\u6a21\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cnblogs.com\/ello\/archive\/2012\/04\/28\/2475419.html\">\u300a\u6d45\u6790\u4eba\u8138\u68c0\u6d4b\u4e4bHaar\u5206\u7c7b\u5668\u65b9\u6cd5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u672c\u6587\u867d\u7136\u662f\u5199\u4e8e2012\u5e74\uff0c\u4f46\u662f\u8fd9\u7bc7\u6587\u7ae0\u5b8c\u5168\u662f\u4f5c\u8005\u7684\u7ecf\u9a8c\u4e4b\u4f5c\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ituring.com.cn\/article\/55994\">\u300a\u5982\u4f55\u6210\u4e3a\u4e00\u4f4d\u6570\u636e\u79d1\u5b66\u5bb6\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u672c\u6587\u662f\u5bf9\u300a\u673a\u5668\u5b66\u4e60\u5b9e\u6218\u300b\u4f5c\u8005Peter Harrington\u505a\u7684\u4e00\u4e2a\u8bbf\u8c08\u3002\u5305\u542b\u4e86\u4e66\u4e2d\u90e8\u5206\u7684\u7591\u95ee\u89e3\u7b54\u548c\u4e00\u70b9\u4e2a\u4eba\u5b66\u4e60\u5efa\u8bae<\/p>\n<ul>\n<li><a href=\"http:\/\/www.metacademy.org\/roadmaps\/rgrosse\/deep_learning\">\u300aDeep learning from the bottom up\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u975e\u5e38\u597d\u7684\u6df1\u5ea6\u5b66\u4e60\u6982\u8ff0\uff0c\u5bf9\u51e0\u79cd\u6d41\u884c\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u90fd\u8fdb\u884c\u4e86\u4ecb\u7ecd\u548c\u8ba8\u8bba<\/p>\n<ul>\n<li><a href=\"http:\/\/onepager.togaware.com\/TextMiningO.pdf\">\u300aHands-On Data Science with R Text Mining\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e3b\u8981\u662f\u8bb2\u8ff0\u4e86\u5229\u7528R\u8bed\u8a00\u8fdb\u884c\u6570\u636e\u6316\u6398<\/p>\n<ul>\n<li><a href=\"http:\/\/colah.github.io\/posts\/2014-07-Understanding-Convolutions\/\">\u300aUnderstanding Convolutions\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5e2e\u4f60\u7406\u89e3\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff0c\u8bb2\u89e3\u5f88\u6e05\u6670\uff0c\u6b64\u5916\u8fd8\u6709\u4e24\u7bc7<a href=\"http:\/\/colah.github.io\/posts\/2014-07-Conv-Nets-Modular\/\">Conv Nets: A Modular Perspective<\/a>\uff0c<a href=\"http:\/\/colah.github.io\/posts\/2014-12-Groups-Convolution\/\">Groups &amp; Group Convolutions<\/a>. \u4f5c\u8005\u7684\u5176\u4ed6\u7684\u5173\u4e8e\u795e\u7ecf\u7f51\u7edc\u6587\u7ae0\u4e5f\u5f88\u68d2<\/p>\n<ul>\n<li><a href=\"http:\/\/www.iro.umontreal.ca\/%7Epift6266\/H10\/notes\/deepintro.html#introduction-to-deep-learning-algorithms\">\u300aIntroduction to Deep Learning Algorithms\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Deep Learning\u7b97\u6cd5\u4ecb\u7ecd\uff0c\u91cc\u9762\u4ecb\u7ecd\u4e8606\u5e743\u7bc7\u8ba9deep learning\u5d1b\u8d77\u7684\u8bba\u6587<\/p>\n<ul>\n<li><a href=\"http:\/\/www.iro.umontreal.ca\/%7Ebengioy\/papers\/ftml_book.pdf\">\u300aLearning Deep Architectures for AI\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u672c\u5b66\u4e60\u4eba\u5de5\u667a\u80fd\u7684\u4e66\u7c4d\uff0c\u4f5c\u8005\u662fYoshua Bengio\uff0c\u76f8\u5173<a href=\"http:\/\/www.infoq.com\/cn\/articles\/ask-yoshua-bengio\">\u56fd\u5185\u62a5\u9053<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.toronto.edu\/%7Ehinton\/\">\u300aGeoffrey E. Hinton\u4e2a\u4eba\u4e3b\u9875\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Geoffrey Hinton\u662fDeep Learning\u7684\u5927\u725b\uff0c\u4ed6\u7684\u4e3b\u9875\u653e\u4e86\u4e00\u4e9b\u4ecb\u7ecd\u6027\u6587\u7ae0\u548c\u8bfe\u4ef6\u503c\u5f97\u5b66\u4e60<\/p>\n<ul>\n<li><a href=\"http:\/\/omega.albany.edu:8008\/JaynesBook.html\">\u300aPROBABILITY THEORY: THE LOGIC OF SCIENCE\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6982\u7387\u8bba\uff1a\u6570\u7406\u903b\u8f91\u4e66\u7c4d<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/h2oai\/h2o\">\u300aH2O\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u4e2a\u7528\u6765\u5feb\u901f\u7684\u7edf\u8ba1\uff0c\u673a\u5668\u5b66\u4e60\u5e76\u4e14\u5bf9\u4e8e\u6570\u636e\u91cf\u5927\u7684\u6570\u5b66\u5e93<\/p>\n<ul>\n<li><a href=\"http:\/\/www.iclr.cc\/doku.php?id=iclr2015:main\">\u300aICLR 2015\u4f1a\u8bae\u7684arXiv\u7a3f\u4ef6\u5408\u96c6\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5728\u8fd9\u91cc\u4f60\u53ef\u4ee5\u770b\u5230\u6700\u8fd1\u6df1\u5ea6\u5b66\u4e60\u6709\u4ec0\u4e48\u65b0\u52a8\u5411\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www-nlp.stanford.edu\/IR-book\/\">\u300aIntroduction to Information Retrieval\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6b64\u4e66\u5728\u4fe1\u606f\u68c0\u7d22\u9886\u57df\u5bb6\u55bb\u6237\u6653\uff0c \u9664\u63d0\u4f9b\u8be5\u4e66\u7684\u514d\u8d39\u7535\u5b50\u7248\u5916\uff0c\u8fd8\u63d0\u4f9b\u4e00\u4e2a<a href=\"http:\/\/www-nlp.stanford.edu\/IR-book\/information-retrieval.html\">IR\u8d44\u6e90\u5217\u8868<\/a> \uff0c\u6536\u5f55\u4e86\u4fe1\u606f\u68c0\u7d22\u3001\u7f51\u7edc\u4fe1\u606f\u68c0\u7d22\u3001\u641c\u7d22\u5f15\u64ce\u5b9e\u73b0\u7b49\u65b9\u9762\u76f8\u5173\u7684\u56fe\u4e66\u3001\u7814\u7a76\u4e2d\u5fc3\u3001\u76f8\u5173\u8bfe\u7a0b\u3001\u5b50\u9886\u57df\u3001\u4f1a\u8bae\u3001\u671f\u520a\u7b49\u7b49\uff0c\u582a\u79f0\u5168\u96c6\uff0c\u503c\u5f97\u6536\u85cf<\/p>\n<ul>\n<li><a href=\"http:\/\/yosinski.com\/mlss12\/MLSS-2012-Amari-Information-Geometry\/\">\u300aInformation Geometry and its Applications to Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4fe1\u606f\u51e0\u4f55\u5b66\u53ca\u5176\u5728\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u5e94\u7528<\/p>\n<ul>\n<li><a href=\"http:\/\/computationallegalstudies.com\/2015\/01\/legal-analytics-introduction-course-professors-daniel-martin-katz-michael-j-bommarito\/\">\u300aLegal Analytics \u2013 Introduction to the Course\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bfe\u7a0b\u300a\u6cd5\u5f8b\u5206\u6790\u300b\u4ecb\u7ecd\u5e7b\u706f\u7247\u3002\u7528\u673a\u5668\u5b66\u4e60\u89e3\u51b3\u6cd5\u5f8b\u76f8\u5173\u5206\u6790\u548c\u9884\u6d4b\u95ee\u9898\uff0c\u76f8\u5173\u7684\u6cd5\u5f8b\u5e94\u7528\u5305\u62ec\u9884\u6d4b\u7f16\u7801\u3001\u65e9\u671f\u6848\u4f8b\u8bc4\u4f30\u3001\u6848\u4ef6\u6574\u4f53\u60c5\u51b5\u7684\u9884\u6d4b\uff0c\u5b9a\u4ef7\u548c\u5de5\u4f5c\u4eba\u5458\u9884\u6d4b\uff0c\u53f8\u6cd5\u884c\u4e3a\u9884\u6d4b\u7b49\u3002\u6cd5\u5f8b\u9886\u57df\u5927\u5bb6\u53ef\u80fd\u90fd\u6bd4\u8f83\u964c\u751f\uff0c\u4e0d\u59a8\u4e86\u89e3\u4e0b\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/yanxionglu\/text_pdf\">\u300a\u6587\u672c\u4e0a\u7684\u7b97\u6cd5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6587\u4e2d\u63d0\u5230\u4e86\u6700\u4f18\uff0c\u6a21\u578b\uff0c\u6700\u5927\u71b5\u7b49\u7b49\u7406\u8bba\uff0c\u6b64\u5916\u8fd8\u6709\u5e94\u7528\u7bc7\u3002\u63a8\u8350\u7cfb\u7edf\u53ef\u4ee5\u8bf4\u662f\u4e00\u672c\u4e0d\u9519\u7684\u9605\u8bfb\u7a3f\uff0c\u5173\u4e8e\u6a21\u578b\u8fd8\u63a8\u8350\u4e00\u7bc7<a href=\"http:\/\/blog.sina.com.cn\/s\/blog_6742eecd0100iqcv.html\">Generative Model \u4e0e Discriminative Model<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/karpathy\/neuraltalk\">\u300aNeuralTalk\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.NeuralTalk\u662f\u4e00\u4e2aPython\u7684\u4ece\u56fe\u50cf\u751f\u6210\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u7684\u5de5\u5177\u3002\u5b83\u5b9e\u73b0\u4e86Google (Vinyals\u7b49\uff0c\u5377\u79ef\u795e\u7ecf\u7f51\u7edcCNN + \u957f\u77ed\u671f\u8bb0\u5fc6LSTM) \u548c\u65af\u5766\u798f (Karpathy and Fei-Fei\uff0c CNN + \u9012\u5f52\u795e\u7ecf\u7f51\u7edcRNN)\u7684\u7b97\u6cd5\u3002NeuralTalk\u81ea\u5e26\u4e86\u4e00\u4e2a\u8bad\u7ec3\u597d\u7684\u52a8\u7269\u6a21\u578b\uff0c\u4f60\u53ef\u4ee5\u62ff\u72ee\u5b50\u5927\u8c61\u7684\u7167\u7247\u6765\u8bd5\u8bd5\u770b<\/p>\n<ul>\n<li><a href=\"https:\/\/www.paypal-engineering.com\/2015\/01\/12\/deep-learning-on-hadoop-2-0-2\/\">\u300aDeep Learning on Hadoop 2.0\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u4e86\u5728Hadoop2.0\u4e0a\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60,\u6587\u7ae0\u6765\u81eapaypal<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1206.5533\">\u300aPractical recommendations for gradient-based training of deep architectures\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u57fa\u4e8e\u68af\u5ea6\u4e0b\u964d\u7684\u65b9\u6cd5\u8bad\u7ec3\u6df1\u5ea6\u6846\u67b6\u7684\u5b9e\u8df5\u63a8\u8350\u6307\u5bfc,\u4f5c\u8005\u662f<a href=\"http:\/\/www.iro.umontreal.ca\/%7Ebengioy\/yoshua_en\/research.html\">Yoshua Bengio<\/a> .\u611f\u8c22@xuewei4d \u63a8\u8350<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/machine-learning-statistical-causal-methods\/\">\u300aMachine Learning With Statistical And Causal Methods\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u7528\u7edf\u8ba1\u548c\u56e0\u679c\u65b9\u6cd5\u505a\u673a\u5668\u5b66\u4e60\uff08\u89c6\u9891\u62a5\u544a\uff09<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PLD0F06AA0D2E8FFBA\">\u300aMachine Learning Course 180\u2019\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4e00\u4e2a\u8bb2\u673a\u5668\u5b66\u4e60\u7684Youtube\u89c6\u9891\u6559\u7a0b\u3002160\u96c6\u3002\u7cfb\u7edf\u7a0b\u5ea6\u8ddf\u4e66\u53ef\u6bd4\u62df\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cnblogs.com\/LeftNotEasy\/archive\/2010\/12\/05\/mathmatic_in_machine_learning_1_regression_and_gradient_descent.html\">\u300a\u56de\u5f52(regression)\u3001\u68af\u5ea6\u4e0b\u964d(gradient descent)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u673a\u5668\u5b66\u4e60\u4e2d\u7684\u6570\u5b66\uff0c\u4f5c\u8005\u7684\u7814\u7a76\u65b9\u5411\u662f\u673a\u5668\u5b66\u4e60\uff0c\u5e76\u884c\u8ba1\u7b97\u5982\u679c\u4f60\u8fd8\u60f3\u4e86\u89e3\u4e00\u70b9\u5176\u4ed6\u7684\u53ef\u4ee5\u770b\u770b\u4ed6<a href=\"http:\/\/www.cnblogs.com\/LeftNotEasy\/archive\/2011\/05\/02\/recommended-blogspots.html\">\u535a\u5ba2<\/a>\u7684\u5176\u4ed6\u6587\u7ae0<\/p>\n<ul>\n<li><a href=\"http:\/\/tech.meituan.com\/mt-recommend-practice.html\">\u300a\u7f8e\u56e2\u63a8\u8350\u7b97\u6cd5\u5b9e\u8df5\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u7f8e\u56e2\u63a8\u8350\u7b97\u6cd5\u5b9e\u8df5\uff0c\u4ece\u6846\u67b6\uff0c\u5e94\u7528\uff0c\u7b56\u7565\uff0c\u67e5\u8be2\u7b49\u5206\u6790<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1412.1632\">\u300aDeep Learning for Answer Sentence Selection\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6df1\u5ea6\u5b66\u4e60\u7528\u4e8e\u95ee\u7b54\u7cfb\u7edf\u7b54\u6848\u53e5\u7684\u9009\u53d6<\/p>\n<ul>\n<li><a href=\"http:\/\/www.iro.umontreal.ca\/%7Elisa\/pointeurs\/WWW2014.pdf\">\u300aLearning Semantic Representations Using Convolutional Neural Networks for Web Search \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: CNN\u7528\u4e8eWEB\u641c\u7d22\uff0c\u6df1\u5ea6\u5b66\u4e60\u5728\u6587\u672c\u8ba1\u7b97\u4e2d\u7684\u5e94\u7528<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/caesar0301\/awesome-public-datasets\">\u300aAwesome Public Datasets\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Awesome\u7cfb\u5217\u4e2d\u7684\u516c\u5f00\u6570\u636e\u96c6<\/p>\n<ul>\n<li><a href=\"http:\/\/www.academics.io\/\">\u300aSearch Engine &amp; Community\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4e00\u4e2a\u5b66\u672f\u641c\u7d22\u5f15\u64ce<\/p>\n<ul>\n<li><a href=\"http:\/\/honnibal.github.io\/spaCy\/\">\u300aspaCy\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u7528Python\u548cCython\u5199\u7684\u5de5\u4e1a\u7ea7\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93\uff0c\u53f7\u79f0\u662f\u901f\u5ea6\u6700\u5feb\u7684NLP\u5e93\uff0c\u5feb\u7684\u539f\u56e0\u4e00\u662f\u7528Cython\u5199\u7684\uff0c\u4e8c\u662f\u7528\u4e86\u4e2a\u5f88\u5de7\u5999\u7684hash\u6280\u672f\uff0c\u52a0\u901f\u7cfb\u7edf\u7684\u74f6\u9888\uff0cNLP\u4e2d\u7a00\u677e\u7279\u5f81\u7684\u5b58\u53d6<\/p>\n<ul>\n<li><a href=\"http:\/\/fr.slideshare.net\/MrChrisJohnson\/collaborative-filtering-with-spark\">\u300aCollaborative Filtering with Spark\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: <a href=\"http:\/\/www.fields.utoronto.ca\/video-archive\/event\/323\/2014\">Fields<\/a>\u662f\u4e2a\u6570\u5b66\u7814\u7a76\u4e2d\u5fc3,\u4e0a\u9762\u7684\u8fd9\u4efdppt\u662f\u6765\u81eaFields\u4e3e\u529e\u7684\u6d3b\u52a8\u4e2dRuss Salakhutdinov\u5e26\u6765\u7684\u300a\u5927\u89c4\u6a21\u673a\u5668\u5b66\u4e60\u300b\u5206\u4eab<\/p>\n<ul>\n<li><a href=\"http:\/\/www.7300days.com\/index.php\/stds\/topic\/list\/id\/27\/name\/Topic%20modeling\">\u300aTopic modeling \u7684\u7ecf\u5178\u8bba\u6587\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Topic modeling \u7684\u7ecf\u5178\u8bba\u6587,\u6807\u6ce8\u4e86\u5173\u952e\u70b9<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1412.6564\">\u300aMove Evaluation in Go Using Deep Convolutional Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u591a\u4f26\u591a\u5927\u5b66\u4e0eGoogle\u5408\u4f5c\u7684\u65b0\u8bba\u6587\uff0c\u6df1\u5ea6\u5b66\u4e60\u4e5f\u53ef\u4ee5\u7528\u6765\u4e0b\u56f4\u68cb\uff0c\u636e\u8bf4\u80fd\u8fbe\u5230\u516d\u6bb5\u6c34\u5e73<\/p>\n<ul>\n<li><a href=\"http:\/\/ztl2004.github.io\/MachineLearningWeekly\/issue2.html\">\u300a\u673a\u5668\u5b66\u4e60\u5468\u520a\u7b2c\u4e8c\u671f\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u65b0\u95fb\uff0cpaper,\u8bfe\u7a0b\uff0cbook\uff0csystem,CES,Roboot\uff0c\u6b64\u5916\u8fd8\u63a8\u8350\u4e00\u4e2a<a href=\"http:\/\/blog.newitfarmer.com\/ai\/deep-learning\/15302\/repost-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8%E4%B8%8E%E7%BB%BC%E8%BF%B0%E8%B5%84%E6%96%99\">\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u4e0e\u7efc\u8ff0\u8d44\u6599<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.bigdata-madesimple.com\/learning-more-like-a-human-18-free-ebooks-on-machine-learning\/\">\u300aLearning more like a human: 18 free eBooks on Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: 18 free eBooks on Machine Learning<\/p>\n<ul>\n<li><a href=\"http:\/\/www.hangli-hl.com\/\">\u300aRecommend :Hang Li Home\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Chief scientist of Noah&#8217;s Ark Lab of Huawei Technologies.He worked at the Research Laboratories of NEC Corporation during 1990 and 2001 and Microsoft Research Asia during 2001 and 2012.<a href=\"http:\/\/www.hangli-hl.com\/recent-publications.html\">Paper<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/memkite.com\/deep-learning-bibliography\/\">\u300aDEEPLEARNING.UNIVERSITY \u2013 AN ANNOTATED DEEP LEARNING BIBLIOGRAPHY\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: DEEPLEARNING.UNIVERSITY\u7684\u8bba\u6587\u5e93\u5df2\u7ecf\u6536\u5f55\u4e86963\u7bc7\u7ecf\u8fc7\u5206\u7c7b\u7684\u6df1\u5ea6\u5b66\u4e60\u8bba\u6587\u4e86\uff0c\u5f88\u591a\u7ecf\u5178\u8bba\u6587\u90fd\u5df2\u7ecf\u6536\u5f55<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=wTp3P2UnTfQ&amp;hd=1\">\u300aMLMU.cz &#8211; Radim \u0158eh\u016f\u0159ek &#8211; Word2vec &amp; friends (7.1.2015)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Radim \u0158eh\u016f\u0159ek(Gensim\u5f00\u53d1\u8005)\u5728\u4e00\u6b21\u673a\u5668\u5b66\u4e60\u805a\u4f1a\u4e0a\u7684\u62a5\u544a\uff0c\u5173\u4e8eword2vec\u53ca\u5176\u4f18\u5316\u3001\u5e94\u7528\u548c\u6269\u5c55\uff0c\u5f88\u5b9e\u7528.<a href=\"http:\/\/pan.baidu.com\/s\/1c03wd24\">\u56fd\u5185\u7f51\u76d8<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/databricks.com\/blog\/2015\/01\/28\/introducing-streaming-k-means-in-spark-1-2.html\">\u300aIntroducing streaming k-means in Spark 1.2\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5f88\u591a\u516c\u53f8\u90fd\u7528\u673a\u5668\u5b66\u4e60\u6765\u89e3\u51b3\u95ee\u9898\uff0c\u63d0\u9ad8\u7528\u6237\u4f53\u9a8c\u3002\u90a3\u4e48\u600e\u4e48\u53ef\u4ee5\u8ba9\u673a\u5668\u5b66\u4e60\u66f4\u5b9e\u65f6\u548c\u6709\u6548\u5462\uff1fSpark MLlib 1.2\u91cc\u9762\u7684Streaming K-means\uff0c\u7531\u6591\u9a6c\u9c7c\u8111\u795e\u7ecf\u7814\u7a76\u7684Jeremy Freeman\u8111\u795e\u7ecf\u79d1\u5b66\u5bb6\u7f16\u5199\uff0c\u6700\u521d\u662f\u4e3a\u4e86\u5b9e\u65f6\u5904\u7406\u4ed6\u4eec\u6bcf\u534a\u5c0f\u65f61TB\u7684\u7814\u7a76\u6570\u636e\uff0c\u73b0\u5728\u53d1\u5e03\u7ed9\u5927\u5bb6\u7528\u4e86\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.hankcs.com\/nlp\/lda-java-introduction-and-implementation.html\">\u300aLDA\u5165\u95e8\u4e0eJava\u5b9e\u73b0\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8fd9\u662f\u4e00\u7bc7\u9762\u5411\u5de5\u7a0b\u5e08\u7684LDA\u5165\u95e8\u7b14\u8bb0\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e00\u4efd\u5f00\u7bb1\u5373\u7528Java\u5b9e\u73b0\u3002\u672c\u6587\u53ea\u8bb0\u5f55\u57fa\u672c\u6982\u5ff5\u4e0e\u539f\u7406\uff0c\u5e76\u4e0d\u6d89\u53ca\u516c\u5f0f\u63a8\u5bfc\u3002\u6587\u4e2d\u7684LDA\u5b9e\u73b0\u6838\u5fc3\u90e8\u5206\u91c7\u7528\u4e86arbylon\u7684LdaGibbsSampler\u5e76\u529b\u6240\u80fd\u53ca\u5730\u6ce8\u89e3\u4e86\uff0c\u5728\u641c\u72d7\u5206\u7c7b\u8bed\u6599\u5e93\u4e0a\u6d4b\u8bd5\u826f\u597d\uff0c\u5f00\u6e90\u5728<a href=\"https:\/\/github.com\/hankcs\/LDA4j\">GitHub<\/a>\u4e0a\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/aminer.org\/\">\u300aAMiner &#8211; Open Science Platform\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: AMiner\u662f\u4e00\u4e2a\u5b66\u672f\u641c\u7d22\u5f15\u64ce\uff0c\u4ece\u5b66\u672f\u7f51\u7edc\u4e2d\u6316\u6398\u6df1\u5ea6\u77e5\u8bc6\u3001\u9762\u5411\u79d1\u6280\u5927\u6570\u636e\u7684\u6316\u6398\u3002\u6536\u96c6\u8fd14000\u4e07\u4f5c\u8005\u4fe1\u606f\u30018000\u4e07\u8bba\u6587\u4fe1\u606f\u30011\u4ebf\u591a\u5f15\u7528\u5173\u7cfb\u3001\u94fe\u63a5\u8fd18\u767e\u4e07\u77e5\u8bc6\u70b9\uff1b\u652f\u6301\u4e13\u5bb6\u641c\u7d22\u3001\u673a\u6784\u6392\u540d\u3001\u79d1\u7814\u6210\u679c\u8bc4\u4ef7\u3001\u4f1a\u8bae\u6392\u540d\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/www.quora.com\/What-are-some-interesting-Word2Vec-results\">\u300aWhat are some interesting Word2Vec results?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Quora\u4e0a\u7684\u4e3b\u9898\uff0c\u8ba8\u8bbaWord2Vec\u7684\u6709\u8da3\u5e94\u7528\uff0cOmer Levy\u63d0\u5230\u4e86\u4ed6\u5728CoNLL2014\u6700\u4f73\u8bba\u6587\u91cc\u7684\u5206\u6790\u7ed3\u679c\u548c\u65b0\u65b9\u6cd5\uff0cDaniel Hammack\u7ed9\u51fa\u4e86\u627e\u7279\u5f02\u8bcd\u7684\u5c0f\u5e94\u7528\u5e76\u63d0\u4f9b\u4e86<a href=\"https:\/\/github.com\/dhammack\/Word2VecExample\">(Python)\u4ee3\u7801<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/blog.coursegraph.com\/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%85%AC%E5%BC%80%E8%AF%BE%E6%B1%87%E6%80%BB\">\u300a\u673a\u5668\u5b66\u4e60\u516c\u5f00\u8bfe\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u673a\u5668\u5b66\u4e60\u516c\u5f00\u8bfe\u6c47\u603b,\u867d\u7136\u91cc\u9762\u7684\u6709\u4e9b\u8bfe\u7a0b\u5df2\u7ecf\u5f52\u6863\u8fc7\u4e86\uff0c\u4f46\u662f\u8fd8\u6709\u4e2a\u522b\u7684\u4fe1\u606f\u6ca1\u6709\u3002\u611f\u8c22\u8bfe\u7a0b\u56fe\u8c31\u7684\u5c0f\u7f16<\/p>\n<ul>\n<li><a href=\"http:\/\/linear.ups.edu\/download.html\">\u300aA First Course in Linear Algebra\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u3010A First Course in Linear Algebra\u3011Robert Beezer \u6709\u7b54\u6848 \u6709\u79fb\u52a8\u7248\u3001\u6253\u5370\u7248 \u4f7f\u7528GNU\u81ea\u7531\u6587\u6863\u534f\u8bae \u5f15\u7528\u4e86\u6770\u5f17\u900a1813\u5e74\u7684\u4fe1<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ShiqiYu\/libfacedetection\">\u300alibfacedetection\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:libfacedetection\u662f\u6df1\u5733\u5927\u5b66\u5f00\u6e90\u7684\u4e00\u4e2a\u4eba\u8138\u56fe\u50cf\u8bc6\u522b\u5e93\u3002\u5305\u542b\u6b63\u9762\u548c\u591a\u89c6\u89d2\u4eba\u8138\u68c0\u6d4b\u4e24\u4e2a\u7b97\u6cd5.\u4f18\u70b9:\u901f\u5ea6\u5feb(OpenCV haar+adaboost\u76842-3\u500d), \u51c6\u786e\u5ea6\u9ad8 (FDDB\u975e\u516c\u5f00\u7c7b\u8bc4\u6d4b\u6392\u540d\u7b2c\u4e8c\uff09\uff0c\u80fd\u4f30\u8ba1\u4eba\u8138\u89d2\u5ea6\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/dl.acm.org\/citation.cfm?doid=2684822.2685310\">\u300aInverting a Steady-State\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:WSDM2015\u6700\u4f73\u8bba\u6587 \u628a\u9a6c\u5c14\u53ef\u592b\u94fe\u7406\u8bba\u7528\u5728\u4e86\u56fe\u5206\u6790\u4e0a\u9762\uff0c\u6bd4\u4e00\u822c\u7684propagation model\u66f4\u52a0\u6df1\u523b\u4e00\u4e9b\u3002\u901a\u8fc7\u5168\u5c40\u7684\u5e73\u7a33\u5206\u5e03\u53bb\u6c42\u89e3\u6bcf\u4e2a\u8282\u70b9\u5f71\u54cd\u7cfb\u6570\u6a21\u578b\u3002\u5047\u8bbe\u5408\u7406\uff08\u8f6c\u79fb\u53d7\u5230\u76f8\u90bb\u7684\u5f71\u54cd\u7cfb\u6570\u5f71\u54cd\uff09\u3002\u53ef\u4ee5\u7528\u6765\u53cd\u6c42\u6bcf\u4e2a\u8282\u70b9\u7684\u5f71\u54cd\u7cfb\u6570<\/p>\n<ul>\n<li><a href=\"http:\/\/pan.baidu.com\/s\/1pJogO7x\">\u300a\u673a\u5668\u5b66\u4e60\u5165\u95e8\u4e66\u5355\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5165\u95e8\u4e66\u7c4d\uff0c<a href=\"http:\/\/www.hankcs.com\/ml\/machine-learning-entry-list.html\">\u5177\u4f53\u4ecb\u7ecd<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/v1v3kn.tumblr.com\/post\/47193952400\/the-trouble-with-svms\">\u300aThe Trouble with SVMs\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u975e\u5e38\u68d2\u7684\u5f3a\u8c03\u7279\u5f81\u9009\u62e9\u5bf9\u5206\u7c7b\u5668\u91cd\u8981\u6027\u7684\u6587\u7ae0\u3002\u60c5\u611f\u5206\u7c7b\u4e2d\uff0c\u6839\u636e\u4e92\u4fe1\u606f\u5bf9\u590d\u6742\u9ad8\u7ef4\u7279\u5f81\u964d\u7ef4\u518d\u4f7f\u7528\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\uff0c\u53d6\u5f97\u4e86\u6bd4SVM\u66f4\u7406\u60f3\u7684\u6548\u679c\uff0c\u8bad\u7ec3\u548c\u5206\u7c7b\u65f6\u95f4\u4e5f\u5927\u5927\u964d\u4f4e\u2014\u2014\u66f4\u91cd\u8981\u7684\u662f\uff0c\u4e0d\u5fc5\u82b1\u5927\u91cf\u65f6\u95f4\u5728\u5b66\u4e60\u548c\u4f18\u5316SVM\u4e0a\u2014\u2014\u7279\u5f81\u4e5f\u4e00\u6837no free lunch<\/p>\n<ul>\n<li><a href=\"http:\/\/www.stat.cmu.edu\/%7Elarry\/Wasserman.pdf\">\u300aRise of the Machines\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:CMU\u7684\u7edf\u8ba1\u7cfb\u548c\u8ba1\u7b97\u673a\u7cfb\u77e5\u540d\u6559\u6388Larry Wasserman \u5728\u300a\u673a\u5668\u5d1b\u8d77\u300b,\u5bf9\u6bd4\u4e86\u7edf\u8ba1\u548c\u673a\u5668\u5b66\u4e60\u7684\u5dee\u5f02<\/p>\n<ul>\n<li><a href=\"http:\/\/tech.meituan.com\/mt-mlinaction-how-to-ml.html\">\u300a\u5b9e\u4f8b\u8be6\u89e3\u673a\u5668\u5b66\u4e60\u5982\u4f55\u89e3\u51b3\u95ee\u9898\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u968f\u7740\u5927\u6570\u636e\u65f6\u4ee3\u7684\u5230\u6765\uff0c\u673a\u5668\u5b66\u4e60\u6210\u4e3a\u89e3\u51b3\u95ee\u9898\u7684\u4e00\u79cd\u91cd\u8981\u4e14\u5173\u952e\u7684\u5de5\u5177\u3002\u4e0d\u7ba1\u662f\u5de5\u4e1a\u754c\u8fd8\u662f\u5b66\u672f\u754c\uff0c\u673a\u5668\u5b66\u4e60\u90fd\u662f\u4e00\u4e2a\u7099\u624b\u53ef\u70ed\u7684\u65b9\u5411\uff0c\u4f46\u662f\u5b66\u672f\u754c \u548c\u5de5\u4e1a\u754c\u5bf9\u673a\u5668\u5b66\u4e60\u7684\u7814\u7a76\u5404\u6709\u4fa7\u91cd\uff0c\u5b66\u672f\u754c\u4fa7\u91cd\u4e8e\u5bf9\u673a\u5668\u5b66\u4e60\u7406\u8bba\u7684\u7814\u7a76\uff0c\u5de5\u4e1a\u754c\u4fa7\u91cd\u4e8e\u5982\u4f55\u7528\u673a\u5668\u5b66\u4e60\u6765\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002\u8fd9\u7bc7\u6587\u7ae0\u662f\u7f8e\u56e2\u7684\u5b9e\u9645\u73af\u5883\u4e2d\u7684\u5b9e\u6218\u7bc7<\/p>\n<ul>\n<li><a href=\"http:\/\/www.gaussianprocess.org\/gpml\/\">\u300aGaussian Processes for Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411\u673a\u5668\u5b66\u4e60\u7684\u9ad8\u65af\u8fc7\u7a0b\uff0c\u7ae0\u8282\u6982\u8981\uff1a\u56de\u5f52\u3001\u5206\u7c7b\u3001\u534f\u65b9\u5dee\u51fd\u6570\u3001\u6a21\u578b\u9009\u62e9\u4e0e\u8d85\u53c2\u4f18\u5316\u3001\u9ad8\u65af\u6a21\u578b\u4e0e\u5176\u4ed6\u6a21\u578b\u5173\u7cfb\u3001\u5927\u6570\u636e\u96c6\u7684\u903c\u8fd1\u65b9\u6cd5\u7b49,<a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2vfWuT\">\u5fae\u76d8\u4e0b\u8f7d<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/chairnerd.seatgeek.com\/fuzzywuzzy-fuzzy-string-matching-in-python\/\">\u300aFuzzyWuzzy: Fuzzy String Matching in Python\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Python\u4e0b\u7684\u6587\u672c\u6a21\u7cca\u5339\u914d\u5e93\uff0c\u8001\u5e93\u65b0\u63a8\uff0c\u53ef\u8ba1\u7b97\u4e32\u95f4ratio(\u7b80\u5355\u76f8\u4f3c\u7cfb\u6570)\u3001partial_ratio(\u5c40\u90e8\u76f8\u4f3c\u7cfb\u6570)\u3001token_sort_ratio(\u8bcd\u6392\u5e8f\u76f8\u4f3c\u7cfb\u6570)\u3001token_set_ratio(\u8bcd\u96c6\u5408\u76f8\u4f3c\u7cfb\u6570)\u7b49 <a href=\"https:\/\/github.com\/seatgeek\/fuzzywuzzy\">github<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/blocks.readthedocs.org\/en\/latest\/\">\u300aBlocks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Blocks\u662f\u57fa\u4e8eTheano\u7684\u795e\u7ecf\u7f51\u7edc\u642d\u5efa\u6846\u67b6\uff0c\u96c6\u6210\u76f8\u5173\u51fd\u6570\u3001\u7ba1\u9053\u548c\u7b97\u6cd5\uff0c\u5e2e\u4f60\u66f4\u5feb\u5730\u521b\u5efa\u548c\u7ba1\u7406NN\u6a21\u5757.<\/p>\n<ul>\n<li><a href=\"http:\/\/alex.smola.org\/teaching\/10-701-15\/\">\u300aIntroduction to Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5927\u795eAlex Smola\u5728CMU\u65b0\u4e00\u671f\u7684\u673a\u5668\u5b66\u4e60\u5165\u95e8\u8bfe\u7a0b\u201dIntroduction to Machine Learning\u201c\u8fd1\u671f\u521a\u521a\u5f00\u8bfe\uff0c\u8bfe\u7a0b4K\u9ad8\u6e05\u89c6\u9891\u540c\u6b65\u5230Youtube\u4e0a\uff0c\u76ee\u524d\u521a\u521a\u66f4\u65b0\u5230 2.4 Exponential Families,\u8bfe\u7a0b\u89c6\u9891<a href=\"https:\/\/www.youtube.com\/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn\">playlist<\/a>, \u611f\u5174\u8da3\u7684\u540c\u5b66\u53ef\u4ee5\u5173\u6ce8\uff0c\u975e\u5e38\u9002\u5408\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1502.01423\">\u300aCollaborative Feature Learning from Social Media\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u793e\u4ea4\u7528\u6237\u884c\u4e3a\u5b66\u4e60\u56fe\u7247\u7684\u534f\u540c\u7279\u5f81\uff0c\u53ef\u66f4\u597d\u5730\u8868\u8fbe\u56fe\u7247\u5185\u5bb9\u76f8\u4f3c\u6027\u3002\u7531\u4e8e\u4e0d\u4f9d\u8d56\u4e8e\u4eba\u5de5\u6807\u7b7e(\u6807\u6ce8)\uff0c\u53ef\u7528\u4e8e\u5927\u89c4\u6a21\u56fe\u7247\u5904\u7406\uff0c\u96be\u5728\u7528\u6237\u884c\u4e3a\u6570\u636e\u7684\u83b7\u53d6\u548c\u6e05\u6d17\uff1b\u5229\u7528\u793e\u4f1a\u5316\u7279\u5f81\u7684\u601d\u8def\u503c\u5f97\u501f\u9274.<\/p>\n<ul>\n<li><a href=\"https:\/\/blog.twitter.com\/2015\/introducing-practical-and-robust-anomaly-detection-in-a-time-series\">\u300aIntroducing practical and robust anomaly detection in a time series\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Twitter\u6280\u672f\u56e2\u961f\u5bf9\u524d\u6bb5\u65f6\u95f4\u5f00\u6e90\u7684\u65f6\u95f4\u5e8f\u5217\u5f02\u5e38\u68c0\u6d4b\u7b97\u6cd5(S-H-ESD)R\u5305\u7684\u4ecb\u7ecd\uff0c\u5176\u4e2d\u5bf9\u5f02\u5e38\u7684\u5b9a\u4e49\u548c\u5206\u6790\u5f88\u503c\u5f97\u53c2\u8003\uff0c\u6587\u4e2d\u4e5f\u63d0\u5230\u2014\u2014\u5f02\u5e38\u662f\u5f3a\u9488\u5bf9\u6027\u7684\uff0c\u67d0\u4e2a\u9886\u57df\u5f00\u53d1\u7684\u5f02\u5e38\u68c0\u6d4b\u5728\u5176\u4ed6\u9886\u57df\u76f4\u63a5\u7528\u53ef\u4e0d\u884c.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.destinationcrm.com\/Articles\/Web-Exclusives\/Viewpoints\/Empower-Your-Team-to-Deal-with-Data-Quality-Issues-101308.aspx\">\u300aEmpower Your Team to Deal with Data-Quality Issues\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u805a\u7126\u6570\u636e\u8d28\u91cf\u95ee\u9898\u7684\u5e94\u5bf9\uff0c\u6570\u636e\u8d28\u91cf\u5bf9\u5404\u79cd\u89c4\u6a21\u4f01\u4e1a\u7684\u6027\u80fd\u548c\u6548\u7387\u90fd\u81f3\u5173\u91cd\u8981\uff0c\u6587\u4e2d\u603b\u7ed3\u51fa(\u4e0d\u9650\u4e8e)22\u79cd\u5178\u578b\u6570\u636e\u8d28\u91cf\u95ee\u9898\u663e\u73b0\u7684\u4fe1\u53f7\uff0c\u4ee5\u53ca\u5178\u578b\u7684\u6570\u636e\u8d28\u91cf\u89e3\u51b3\u65b9\u6848(\u6e05\u6d17\u3001\u53bb\u91cd\u3001\u7edf\u4e00\u3001\u5339\u914d\u3001\u6743\u9650\u6e05\u7406\u7b49)<\/p>\n<ul>\n<li><a href=\"http:\/\/www.52nlp.cn\/%E4%B8%AD%E6%96%87%E5%88%86%E8%AF%8D%E5%85%A5%E9%97%A8%E4%B9%8B%E8%B5%84%E6%BA%90\">\u300a\u4e2d\u6587\u5206\u8bcd\u5165\u95e8\u4e4b\u8d44\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e2d\u6587\u5206\u8bcd\u5165\u95e8\u4e4b\u8d44\u6e90.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PLnDbcXCpYZ8lCKExMs8k4PtIbani9ESX3\">\u300aDeep Learning Summit, San Francisco, 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:15\u5e74\u65e7\u91d1\u5c71\u6df1\u5ea6\u5b66\u4e60\u5cf0\u4f1a\u89c6\u9891\u96c6\u8403,<a href=\"http:\/\/pan.baidu.com\/s\/1ntiLMcT\">\u56fd\u5185\u4e91\u76d8<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/blog.echen.me\/2012\/01\/03\/introduction-to-conditional-random-fields\/\">\u300aIntroduction to Conditional Random Fields\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5f88\u597d\u7684\u6761\u4ef6\u968f\u673a\u573a(CRF)\u4ecb\u7ecd\u6587\u7ae0,\u4f5c\u8005\u7684\u5b66\u4e60\u7b14\u8bb0<\/p>\n<ul>\n<li><a href=\"http:\/\/cs.stanford.edu\/%7Edanqi\/papers\/emnlp2014.pdf\">\u300aA Fast and Accurate Dependency Parser using Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6765\u81eaStanford\uff0c\u7528\u795e\u7ecf\u7f51\u7edc\u5b9e\u73b0\u5feb\u901f\u51c6\u786e\u7684\u4f9d\u5b58\u5173\u7cfb\u89e3\u6790\u5668<\/p>\n<ul>\n<li><a href=\"https:\/\/timdettmers.wordpress.com\/2014\/08\/14\/which-gpu-for-deep-learning\/\">\u300aWhich GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u505a\u6df1\u5ea6\u5b66\u4e60\u5982\u4f55\u9009\u62e9GPU\u7684\u5efa\u8bae<\/p>\n<ul>\n<li><a href=\"http:\/\/new.livestream.com\/accounts\/10932136\/events\/3779068\">\u300aSparse Linear Models\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Stanford\u7684Trevor Hastie\u6559\u6388\u5728H2O.ai Meet-Up\u4e0a\u7684\u62a5\u544a\uff0c\u8bb2\u7a00\u758f\u7ebf\u6027\u6a21\u578b\u2014\u2014\u9762\u5411\u201c\u5bbd\u6570\u636e\u201d(\u7279\u5f81\u7ef4\u6570\u8d85\u8fc7\u6837\u672c\u6570)\u7684\u7ebf\u6027\u6a21\u578b,13\u5e74\u540c<a href=\"http:\/\/pan.baidu.com\/s\/1jimPw\">\u4e3b\u9898\u62a5\u544a<\/a> \u3001<a href=\"http:\/\/pan.baidu.com\/s\/1o6wqW6u\">\u8bb2\u4e49<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/jbhuang0604\/awesome-computer-vision\">\u300aAwesome Computer Vision\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5206\u7c7b\u6574\u7406\u7684\u673a\u5668\u89c6\u89c9\u76f8\u5173\u8d44\u6e90\u5217\u8868\uff0c\u79c9\u627fAwesome\u7cfb\u5217\u98ce\u683c\uff0c\u6709\u8d28\u6709\u91cf!\u4f5c\u8005\u7684\u66f4\u65b0\u9891\u7387\u4e5f\u5f88\u9891\u7e41<\/p>\n<ul>\n<li><a href=\"http:\/\/www.personal.ceu.hu\/staff\/Adam_Szeidl\/\">\u300aAdam Szeidl\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: social networks course<\/p>\n<ul>\n<li><a href=\"http:\/\/radar.oreilly.com\/2015\/01\/building-and-deploying-large-scale-machine-learning-pipelines.html\/\">\u300aBuilding and deploying large-scale machine learning pipelines\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5927\u89c4\u6a21\u673a\u5668\u5b66\u4e60\u6d41\u7a0b\u7684\u6784\u5efa\u4e0e\u90e8\u7f72.<\/p>\n<ul>\n<li><a href=\"http:\/\/download.csdn.net\/detail\/lswtzw\/8469997\">\u300a\u4eba\u8138\u8bc6\u522b\u5f00\u53d1\u5305\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4eba\u8138\u8bc6\u522b\u4e8c\u6b21\u5f00\u53d1\u5305\uff0c\u514d\u8d39\uff0c\u53ef\u5546\u7528\uff0c\u6709\u6f14\u793a\u3001\u8303\u4f8b\u3001\u8bf4\u660e\u4e66.<\/p>\n<ul>\n<li><a href=\"http:\/\/devblogs.nvidia.com\/parallelforall\/understanding-natural-language-deep-neural-networks-using-torch\/\">\u300aUnderstanding Natural Language with Deep Neural Networks Using Torch\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u91c7\u7528Torch\u7528\u6df1\u5ea6\u5b66\u4e60\u7f51\u7edc\u7406\u89e3NLP\uff0c\u6765\u81eaFacebook \u4eba\u5de5\u667a\u80fd\u7684\u6587\u7ae0.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1503.00168.pdf\">\u300aThe NLP Engine: A Universal Turing Machine for NLP\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6765\u81eaCMU\u7684Ed Hovy\u548cStanford\u7684Jiwei Li\u4e00\u7bc7\u6709\u610f\u601d\u7684Arxiv\u6587\u7ae0,\u4f5c\u8005\u7528Shannon Entropy\u6765\u523b\u753bNLP\u4e2d\u5404\u9879\u4efb\u52a1\u7684\u96be\u5ea6.<\/p>\n<ul>\n<li><a href=\"http:\/\/staff.city.ac.uk\/%7Esb317\/papers\/foundations_bm25_review.pdf\">\u300aTThe Probabilistic Relevance Framework: BM25 and Beyond\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4fe1\u606f\u68c0\u7d22\u6392\u5e8f\u6a21\u578bBM25(Besting Matching)\u30021\uff09\u4ece\u7ecf\u5178\u6982\u7387\u6a21\u578b\u6f14\u53d8\u800c\u6765 2\uff09\u6355\u6349\u4e86\u5411\u91cf\u7a7a\u95f4\u6a21\u578b\u4e2d\u4e09\u4e2a\u5f71\u54cd\u7d22\u5f15\u9879\u6743\u91cd\u7684\u56e0\u5b50\uff1aIDF\u9006\u6587\u6863\u9891\u7387\uff1bTF\u7d22\u5f15\u9879\u9891\u7387\uff1b\u6587\u6863\u957f\u5ea6\u5f52\u4e00\u5316\u30023\uff09\u5e76\u4e14\u542b\u6709\u96c6\u6210\u5b66\u4e60\u7684\u601d\u60f3\uff1a\u7ec4\u5408\u4e86BM11\u548c BM15\u4e24\u4e2a\u6a21\u578b\u30024\uff09\u4f5c\u8005\u662fBM25\u7684\u63d0\u51fa\u8005\u548cOkapi\u5b9e\u73b0\u8005Robertson.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.analyticsvidhya.com\/blog\/2015\/03\/introduction-auto-regression-moving-average-time-series\/\">\u300aIntroduction to ARMA Time Series Models \u2013 simplified\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u81ea\u56de\u5f52\u6ed1\u52a8\u5e73\u5747(ARMA)\u65f6\u95f4\u5e8f\u5217\u7684\u7b80\u5355\u4ecb\u7ecd\uff0cARMA\u662f\u7814\u7a76\u65f6\u95f4\u5e8f\u5217\u7684\u91cd\u8981\u65b9\u6cd5\uff0c\u7531\u81ea\u56de\u5f52\u6a21\u578b\uff08AR\u6a21\u578b\uff09\u4e0e\u6ed1\u52a8\u5e73\u5747\u6a21\u578b\uff08MA\u6a21\u578b\uff09\u4e3a\u57fa\u7840\u201c\u6df7\u5408\u201d\u6784\u6210.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1503.01838v1.pdf\">\u300aEncoding Source Language with Convolutional Neural Network for Machine Translation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u628a\u6765\u81eatarget\u7684attention signal\u52a0\u5165source encoding CNN\u7684\u8f93\u5165\uff0c\u5f97\u5230\u4e86\u6bd4BBN\u7684\u6a21\u578b\u597d\u7684\u591aneural network joint model<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1502.03815\">\u300aSpices form the basis of food pairing in Indian cuisine\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u63ed\u5f00\u5370\u5ea6\u83dc\u7684\u7f8e\u5473\u79d8\u8bc0\u2014\u2014\u901a\u8fc7\u5bf9\u5927\u91cf\u98df\u8c31\u539f\u6599\u5173\u7cfb\u7684\u6316\u6398\uff0c\u53d1\u73b0\u5370\u5ea6\u83dc\u7f8e\u5473\u7684\u539f\u56e0\u4e4b\u4e00\u662f\u5176\u4e2d\u7684\u5473\u9053\u4e92\u76f8\u51b2\u7a81\uff0c\u5f88\u6709\u8da3\u7684\u6587\u672c\u6316\u6398\u7814\u7a76<\/p>\n<ul>\n<li><a href=\"http:\/\/www.52nlp.cn\/hmm%E7%9B%B8%E5%85%B3%E6%96%87%E7%AB%A0%E7%B4%A2%E5%BC%95\">\u300aHMM\u76f8\u5173\u6587\u7ae0\u7d22\u5f15\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: HMM\u76f8\u5173\u6587\u7ae0,\u6b64\u5916\u63a8\u8350<a href=\"http:\/\/yanyiwu.com\/work\/2014\/04\/07\/hmm-segment-xiangjie.html\">\u4e2d\u6587\u5206\u8bcd\u4e4bHMM\u6a21\u578b\u8be6\u89e3<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.ccs.neu.edu\/home\/ekanou\/ISU535.09X2\/Handouts\/Review_Material\/zipfslaw.pdf\">\u300aZipf&#8217;s and Heap&#8217;s law\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: 1)\u8bcd\u9891\u4e0e\u5176\u964d\u5e8f\u6392\u5e8f\u7684\u5173\u7cfb,\u6700\u8457\u540d\u7684\u662f\u8bed\u8a00\u5b66\u5bb6\u9f50\u592b(Zipf,1902-1950)1949\u5e74\u63d0\u51fa\u7684Zipf\u2018s law,\u5373\u4e8c\u8005\u6210\u53cd\u6bd4\u5173\u7cfb. \u66fc\u5fb7\u52c3\u7f57(Mandelbrot,1924- 2010)\u5f15\u5165\u53c2\u6570\u4fee\u6b63\u4e86\u5bf9\u751a\u9ad8\u9891\u548c\u751a\u4f4e\u9891\u8bcd\u7684\u523b\u753b 2)Heaps&#8217; law: \u8bcd\u6c47\u8868\u4e0e\u8bed\u6599\u89c4\u6a21\u7684\u5e73\u65b9\u6839(\u8fd9\u662f\u4e00\u4e2a\u53c2\u6570,\u82f1\u8bed0.4-0.6)\u6210\u6b63\u6bd4<\/p>\n<ul>\n<li><a href=\"http:\/\/www.reddit.com\/r\/MachineLearning\/comments\/2xcyrl\/i_am_j%C3%BCrgen_schmidhuber_ama\/\">\u300aI am J\u00fcrgen Schmidhuber, AMA\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: J\u00fcrgen Schmidhuber\u5728Reddit\u4e0a\u7684AMA(Ask Me Anything)\u4e3b\u9898\uff0c\u6709\u4e0d\u5c11RNN\u548cAI\u3001ML\u7684\u5e72\u8d27\u5185\u5bb9\uff0c\u5173\u4e8e\u5f00\u6e90&amp;\u601d\u60f3&amp;\u65b9\u6cd5&amp;\u5efa\u8bae\u2026\u2026\u8010\u5fc3\u9605\u8bfb\uff0c\u76f8\u4fe1\u4f60\u4e5f\u4f1a\u53d7\u76ca\u532a\u6d45.<\/p>\n<ul>\n<li><a href=\"http:\/\/academictorrents.com\/\">\u300a\u5b66\u672f\u79cd\u5b50\u7f51\u7ad9\uff1aAcademicTorrents\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6210G\u4e0aT\u7684\u5b66\u672f\u6570\u636e\uff0cHN\u8fd1\u671f\u70ed\u8bae\u8bdd\u9898,\u4e3b\u9898\u6d89\u53ca\u673a\u5668\u5b66\u4e60\u3001NLP\u3001SNA\u7b49\u3002\u4e0b\u8f7d\u6700\u7b80\u5355\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7BT\u8f6f\u4ef6\uff0cRSS\u8ba2\u9605\u5404\u96c6\u5408\u5373\u53ef<\/p>\n<ul>\n<li><a href=\"http:\/\/scikit-learn.org\/stable\/tutorial\/machine_learning_map\/index.html\">\u300a\u673a\u5668\u5b66\u4e60\u4ea4\u4e92\u901f\u67e5\u8868\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Scikit-Learn\u5b98\u7f51\u63d0\u4f9b\uff0c\u5728\u539f\u6709\u7684Cheat Sheet\u57fa\u7840\u4e0a\u52a0\u4e0a\u4e86Scikit-Learn\u76f8\u5173\u6587\u6863\u7684\u94fe\u63a5\uff0c\u65b9\u4fbf\u6d4f\u89c8<\/p>\n<ul>\n<li><a href=\"https:\/\/timdettmers.wordpress.com\/2015\/03\/09\/deep-learning-hardware-guide\/\">\u300aA Full Hardware Guide to Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6df1\u5ea6\u5b66\u4e60\u7684\u5168\u9762\u786c\u4ef6\u6307\u5357\uff0c\u4eceGPU\u5230RAM\u3001CPU\u3001SSD\u3001PCIe<\/p>\n<ul>\n<li><a href=\"http:\/\/hi.baidu.com\/susongzhi\/item\/085983081b006311eafe38e7\">\u300a\u884c\u4eba\u68c0\u6d4b(Pedestrian Detection)\u8d44\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Pedestrian Detection paper &amp; data<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1502.01241\">\u300aA specialized face-processing network consistent with the representational geometry of monkey face patches\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u3010\u795e\u7ecf\u79d1\u5b66\u78b0\u649e\u4eba\u5de5\u667a\u80fd\u3011\u5728\u8138\u90e8\u8bc6\u522b\u4e0a\u4f60\u6211\u90fd\u662f\u4e13\u5bb6\uff0c\u5373\u4f7f\u7ec6\u5fae\u7684\u5dee\u522b\u4e5f\u80fd\u8fa8\u8ba4\u3002\u7814\u7a76\u5df2\u8bc1\u660e\u4eba\u7c7b\u548c\u7075\u957f\u7c7b\u52a8\u7269\u5728\u9762\u90e8\u52a0\u5de5\u4e0a\u4e0d\u540c\u4e8e\u5176\u4ed6\u7269\u79cd\uff0c\u4eba\u7c7b\u4f7f\u7528\u68ad\u72b6\u56de\u9762 \u5b54\u533a\uff08FFA\uff09\u3002Khaligh-Razavi\u7b49\u901a\u8fc7\u8ba1\u7b97\u673a\u6a21\u62df\u51fa\u4eba\u8138\u8bc6\u522b\u7684FFA\u6d3b\u52a8\uff0c\u582a\u79f0\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u5b8c\u7f8e\u7ed3\u5408\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/vimeo.com\/19569529\">\u300aNeural Net in C++ Tutorial\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u795e\u7ecf\u7f51\u7edcC++\u6559\u7a0b,\u672c\u6587\u4ecb\u7ecd\u4e86\u7528\u53ef\u8c03\u8282\u68af\u5ea6\u4e0b\u964d\u548c\u53ef\u8c03\u8282\u52a8\u91cf\u6cd5\u8bbe\u8ba1\u548c\u7f16\u7801\u7ecf\u5178BP\u795e\u7ecf\u7f51\u7edc\uff0c\u7f51\u7edc\u7ecf\u8fc7\u8bad\u7ec3\u53ef\u4ee5\u505a\u51fa\u60ca\u4eba\u548c\u7f8e\u5999\u7684\u4e1c\u897f\u51fa\u6765\u3002\u6b64\u5916\u4f5c\u8005\u535a\u5ba2\u7684\u5176\u4ed6\u6587\u7ae0\u4e5f\u5f88\u4e0d\u9519\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning4j.org\/neuralnetworktable.html\">\u300aHow to Choose a Neural Network\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:deeplearning4j\u5b98\u7f51\u63d0\u4f9b\u7684\u5b9e\u9645\u5e94\u7528\u573a\u666fNN\u9009\u62e9\u53c2\u8003\u8868\uff0c\u5217\u4e3e\u4e86\u4e00\u4e9b\u5178\u578b\u95ee\u9898\u5efa\u8bae\u4f7f\u7528\u7684\u795e\u7ecf\u7f51\u7edc<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/yusugomori\/DeepLearning\">\u300aDeep Learning (Python, C\/C++, Java, Scala, Go)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u9879\u76ee,\u63d0\u4f9b\u4e86Python, C\/C++, Java, Scala, Go\u591a\u4e2a\u7248\u672c\u7684\u4ee3\u7801<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning.net\/tutorial\/\">\u300aDeep Learning Tutorials\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u6559\u7a0b,<a href=\"https:\/\/github.com\/lisa-lab\/DeepLearningTutorials\">github<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.ccf.org.cn\/resources\/1190201776262\/2015\/03\/12\/15.pdf\">\u300a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u53d1\u5c55\u8d8b\u52bf\u2014\u2014\u8bbf\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u7231\u5fb7\u534e\u00b7\u970d\u5a01\u6559\u6388\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u53d1\u5c55\u8d8b\u52bf\u2014\u2014\u8bbf\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u7231\u5fb7\u534e\u00b7\u970d\u5a01\u6559\u6388.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1503.03832\">\u300aFaceNet: A Unified Embedding for Face Recognition and Clustering\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Google\u5bf9Facebook DeepFace\u7684\u6709\u529b\u56de\u51fb\u2014\u2014 FaceNet\uff0c\u5728LFW(Labeled Faces in the Wild)\u4e0a\u8fbe\u523099.63%\u51c6\u786e\u7387(\u65b0\u7eaa\u5f55)\uff0cFaceNet embeddings\u53ef\u7528\u4e8e\u4eba\u8138\u8bc6\u522b\u3001\u9274\u522b\u548c\u805a\u7c7b.<\/p>\n<ul>\n<li><a href=\"http:\/\/databricks.com\/blog\/2015\/01\/21\/random-forests-and-boosting-in-mllib.html\">\u300aMLlib\u4e2d\u7684Random Forests\u548cBoosting\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u672c\u6587\u6765\u81eaDatabricks\u516c\u53f8\u7f51\u7ad9\u7684\u4e00\u7bc7\u535a\u5ba2\u6587\u7ae0\uff0c\u7531Joseph Bradley\u548cManish Amde\u64b0\u5199\uff0c\u6587\u7ae0\u4e3b\u8981\u4ecb\u7ecd\u4e86Random Forests\u548cGradient-Boosted Trees\uff08GBTs\uff09\u7b97\u6cd5\u548c\u4ed6\u4eec\u5728MLlib\u4e2d\u7684\u5206\u5e03\u5f0f\u5b9e\u73b0\uff0c\u4ee5\u53ca\u5c55\u793a\u4e00\u4e9b\u7b80\u5355\u7684\u4f8b\u5b50\u5e76\u5efa\u8bae\u8be5\u4ece\u4f55\u5904\u4e0a\u624b.<a href=\"http:\/\/www.csdn.net\/article\/2015-03-11\/2824178\">\u4e2d\u6587\u7248<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/spn.cs.washington.edu\/index.shtml\">\u300aSum-Product Networks(SPN) \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u534e\u76db\u987f\u5927\u5b66Pedro Domingos\u56e2\u961f\u7684DNN\uff0c\u63d0\u4f9b\u8bba\u6587\u548c\u5b9e\u73b0\u4ee3\u7801.<\/p>\n<ul>\n<li><a href=\"http:\/\/nlp.stanford.edu\/software\/nndep.shtml\">\u300aNeural Network Dependency Parser\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u81ea\u7136\u8bed\u8a00\u4f9d\u5b58\u5173\u7cfb\u89e3\u6790\u5668(\u5df2\u96c6\u6210\u81f3Stanford CoreNLP)\uff0c\u7279\u70b9\u662f\u8d85\u5feb\u3001\u51c6\u786e\uff0c\u76ee\u524d\u53ef\u5904\u7406\u4e2d\u82f1\u6587\u8bed\u6599\uff0c\u57fa\u4e8e<a href=\"http:\/\/cs.stanford.edu\/%7Edanqi\/papers\/emnlp2014.pdf\">\u300aA Fast and Accurate Dependency Parser Using Neural Networks\u300b<\/a> \u601d\u8def\u5b9e\u73b0.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.flickering.cn\/nlp\/2015\/03\/%E6%88%91%E4%BB%AC%E6%98%AF%E8%BF%99%E6%A0%B7%E7%90%86%E8%A7%A3%E8%AF%AD%E8%A8%80%E7%9A%84-3%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B\/\">\u300a\u795e\u7ecf\u7f51\u7edc\u8bed\u8a00\u6a21\u578b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u672c\u6587\u6839\u636e\u795e\u7ecf\u7f51\u7edc\u7684\u53d1\u5c55\u5386\u7a0b\uff0c\u8be6\u7ec6\u8bb2\u89e3\u795e\u7ecf\u7f51\u7edc\u8bed\u8a00\u6a21\u578b\u5728\u5404\u4e2a\u9636\u6bb5\u7684\u5f62\u5f0f\uff0c\u5176\u4e2d\u7684\u6a21\u578b\u5305\u542bNNLM[Bengio,2003]\u3001 Hierarchical NNLM[Bengio, 2005], Log-Bilinear[Hinton, 2007],SENNA\u7b49\u91cd\u8981\u53d8\u5f62\uff0c\u603b\u7ed3\u7684\u7279\u522b\u597d.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.elg.uottawa.ca\/%7Enat\/Courses\/csi5387_Winter2014\/paper13.pdf\">\u300aClassifying Spam Emails using Text and Readability Features\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7ecf\u5178\u95ee\u9898\u7684\u65b0\u7814\u7a76\uff1a\u5229\u7528\u6587\u672c\u548c\u53ef\u8bfb\u6027\u7279\u5f81\u5206\u7c7b\u5783\u573e\u90ae\u4ef6\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/alexandrebarachant\/bci-challenge-ner-2015\">\u300aBCI Challenge @ NER 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"https:\/\/www.kaggle.com\/c\/inria-bci-challenge\">Kaggle\u8111\u63a7\u8ba1\u7b97\u673a\u4ea4\u4e92(BCI)\u7ade\u8d5b<\/a>\u4f18\u80dc\u65b9\u6848\u6e90\u7801\u53ca\u6587\u6863\uff0c\u5305\u62ec\u5b8c\u6574\u7684\u6570\u636e\u5904\u7406\u6d41\u7a0b\uff0c\u662f\u5b66\u4e60Python\u6570\u636e\u5904\u7406\u548cKaggle\u7ecf\u5178\u53c2\u8d5b\u6846\u67b6\u7684\u7edd\u4f73\u5b9e\u4f8b<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ipol.im\/\">\u300aIPOL Journal \u00b7 Image Processing On Line\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:IPOL\uff08\u5728\u7ebf\u56fe\u50cf\u5904\u7406\uff09\u662f\u56fe\u50cf\u5904\u7406\u548c\u56fe\u50cf\u5206\u6790\u7684\u7814\u7a76\u671f\u520a\uff0c\u6bcf\u7bc7\u6587\u7ae0\u90fd\u5305\u542b\u4e00\u4e2a\u7b97\u6cd5\u53ca\u76f8\u5e94\u7684\u4ee3\u7801\u3001Demo\u548c\u5b9e\u9a8c\u6587\u6863\u3002\u6587\u672c\u548c\u6e90\u7801\u662f\u7ecf\u8fc7\u4e86\u540c\u884c\u8bc4\u5ba1\u7684\u3002IPOL\u662f\u5f00\u653e\u7684\u79d1\u5b66\u548c\u53ef\u91cd\u590d\u7684\u7814\u7a76\u671f\u520a\u3002\u6211\u4e00\u76f4\u60f3\u505a\u70b9\u7c7b\u4f3c\u7684\u5de5\u4f5c\uff0c\u62c9\u8fd1\u4ea7\u54c1\u548c\u6280\u672f\u4e4b\u95f4\u7684\u8ddd\u79bb.<\/p>\n<ul>\n<li><a href=\"http:\/\/eprint.iacr.org\/2014\/331\">\u300aMachine learning classification over encrypted data\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u51fa\u81eaMIT\uff0c\u7814\u7a76\u52a0\u5bc6\u6570\u636e\u9ad8\u6548\u5206\u7c7b\u95ee\u9898.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/purine\/purine2\">\u300apurine2\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65b0\u52a0\u5761LV\u5b9e\u9a8c\u5ba4\u7684\u795e\u7ecf\u7f51\u7edc\u5e76\u884c\u6846\u67b6<a href=\"http:\/\/arxiv.org\/abs\/1412.6249\">Purine: A bi-graph based deep learning framework<\/a>,\u652f\u6301\u6784\u5efa\u5404\u79cd\u5e76\u884c\u7684\u67b6\u6784\uff0c\u5728\u591a\u673a\u591a\u5361\uff0c\u540c\u6b65\u66f4\u65b0\u53c2\u6570\u7684\u60c5\u51b5\u4e0b\u57fa\u672c\u8fbe\u5230\u7ebf\u6027\u52a0\u901f\u300212\u5757Titan 20\u5c0f\u65f6\u53ef\u4ee5\u5b8c\u6210Googlenet\u7684\u8bad\u7ec3\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/michal.io\/machine-learning-resources\/\">\u300aMachine Learning Resources\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u8d44\u6e90\u5e93,\u867d\u7136\u6bd4\u8f83\u5c11.\u4f46\u868a\u5b50\u518d\u5c0f\u4e5f\u662f\u8089.\u6709\u7a81\u51fa\u90e8\u5206.\u6b64\u5916\u8fd8\u6709\u4e00\u4e2a\u7531<a href=\"http:\/\/zhengrui.github.io\/zerryland\/ML-CV-Resource.html\">zheng Rui\u6574\u7406\u7684\u673a\u5668\u5b66\u4e60\u8d44\u6e90<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/cjdd3b\/nicar2015\/tree\/master\/machine-learning\">\u300aHands-on with machine learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Chase Davis\u5728NICAR15\u4e0a\u7684\u4e3b\u9898\u62a5\u544a\u6750\u6599\uff0c\u7528Scikit-Learn\u505a\u76d1\u7763\u5b66\u4e60\u7684\u5165\u95e8\u4f8b\u5b50.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cse.unsw.edu.au\/%7Ebillw\/nlpdict.html\">\u300aThe Natural Language Processing Dictionary\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u672c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u8bcd\u5178,\u4ece1998\u5e74\u5f00\u59cb\u5230\u76ee\u524d\u79ef\u7d2f\u4e86\u6210\u5343\u4e0a\u4e07\u7684\u4e13\u4e1a\u8bcd\u8bed\u89e3\u91ca,\u5982\u679c\u4f60\u662f\u4e00\u4f4d\u521a\u5165\u95e8\u7684\u670b\u53cb.\u53ef\u4ee5\u501f\u8fd9\u672c\u8bcd\u5178\u8ba9\u81ea\u5df1\u6210\u957f\u66f4\u5feb.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1503.01331\">\u300aPageRank Approach to Ranking National Football Teams\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u901a\u8fc7\u5206\u67901930\u5e74\u81f3\u4eca\u7684\u6bd4\u8d5b\u6570\u636e\uff0c\u7528PageRank\u8ba1\u7b97\u4e16\u754c\u676f\u53c2\u8d5b\u7403\u961f\u6392\u884c\u699c.<\/p>\n<ul>\n<li><a href=\"http:\/\/cyclismo.org\/tutorial\/R\/\">\u300aR Tutorial\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R\u8bed\u8a00\u6559\u7a0b,\u6b64\u5916\u8fd8\u63a8\u8350\u4e00\u4e2aR\u8bed\u8a00\u6559\u7a0b<a href=\"http:\/\/cran.r-project.org\/doc\/manuals\/R-intro.html\">An Introduction to R<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/0803.0476\">\u300aFast unfolding of communities in large networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7ecf\u5178\u8001\u6587\uff0c\u590d\u6742\u7f51\u7edc\u793e\u533a\u53d1\u73b0\u7684\u9ad8\u6548\u7b97\u6cd5\uff0cGephi\u4e2d\u7684<a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/The%20Louvain%20method%20for%20community%20detection%20in%20large%20networks\">Community detection<\/a>\u5373\u57fa\u4e8e\u6b64.<\/p>\n<ul>\n<li><a href=\"http:\/\/numl.net\/\">\u300aNUML\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4e00\u4e2a\u9762\u5411 .net \u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u5e93,<a href=\"https:\/\/github.com\/sethjuarez\/numl\">github\u5730\u5740<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/synaptic.juancazala.com\/\">\u300asynaptic.Js\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u652f\u6301node.js\u7684JS\u795e\u7ecf\u7f51\u7edc\u5e93\uff0c\u53ef\u5728\u5ba2\u6237\u7aef\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884c\uff0c\u652f\u6301LSTM\u7b49 <a href=\"https:\/\/github.com\/cazala\/synaptic\">github\u5730\u5740<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/tjo-en.hatenablog.com\/entry\/2015\/03\/20\/191614\">\u300aMachine learning for package users with R (1): Decision Tree\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u51b3\u7b56\u6811<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdnuggets.com\/2015\/03\/deep-learning-curse-dimensionality-autoencoders.html\">\u300aDeep Learning, The Curse of Dimensionality, and Autoencoders\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8ba8\u8bba\u6df1\u5ea6\u5b66\u4e60\u81ea\u52a8\u7f16\u7801\u5668\u5982\u4f55\u6709\u6548\u5e94\u5bf9\u7ef4\u6570\u707e\u96be,<a href=\"http:\/\/www.36dsj.com\/archives\/26223\">\u56fd\u5185\u7ffb\u8bd1<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.cmu.edu\/%7Esuvrit\/teach\/\">\u300aAdvanced Optimization and Randomized Methods\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: CMU\u7684\u4f18\u5316\u4e0e\u968f\u673a\u65b9\u6cd5\u8bfe\u7a0b\uff0c\u7531A. Smola\u548cS. Sra\u4e3b\u8bb2\uff0c\u4f18\u5316\u7406\u8bba\u662f\u673a\u5668\u5b66\u4e60\u7684\u57fa\u77f3\uff0c\u503c\u5f97\u6df1\u5165\u5b66\u4e60 <a href=\"http:\/\/pan.baidu.com\/s\/1c0cZtQC\">\u56fd\u5185\u4e91(\u89c6\u9891)<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/cs231n.stanford.edu\/reports.html\">\u300aCS231n: Convolutional Neural Networks for Visual Recognition\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: &#8220;\u9762\u5411\u89c6\u89c9\u8bc6\u522b\u7684CNN&#8221;\u8bfe\u7a0b\u8bbe\u8ba1\u62a5\u544a\u96c6\u9526.\u8fd1\u767e\u7bc7\uff0c\u5185\u5bb9\u6d89\u53ca\u56fe\u50cf\u8bc6\u522b\u5e94\u7528\u7684\u5404\u4e2a\u65b9\u9762<\/p>\n<ul>\n<li><a href=\"http:\/\/databricks.com\/blog\/2015\/03\/25\/topic-modeling-with-lda-mllib-meets-graphx.html\">\u300aTopic modeling with LDA: MLlib meets GraphX\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528Spark\u7684MLlib+GraphX\u505a\u5927\u89c4\u6a21LDA\u4e3b\u9898\u62bd\u53d6.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1502.05988\">\u300aDeep Learning for Multi-label Classification\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u591a\u6807\u7b7e\u5206\u7c7b,\u7528\u57fa\u4e8eRBM\u7684DBN\u89e3\u51b3\u591a\u6807\u7b7e\u5206\u7c7b(\u7279\u5f81)\u95ee\u9898<\/p>\n<ul>\n<li><a href=\"http:\/\/deepmind.com\/publications.html\">\u300aGoogle DeepMind publications\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: DeepMind\u8bba\u6587\u96c6\u9526<\/p>\n<ul>\n<li><a href=\"http:\/\/kaldi-asr.org\/\">\u300akaldi\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4e00\u4e2a\u5f00\u6e90\u8bed\u97f3\u8bc6\u522b\u5de5\u5177\u5305,\u5b83\u76ee\u524d\u6258\u7ba1\u5728<a href=\"http:\/\/sourceforge.net\/projects\/kaldi\/\">sourceforge<\/a>\u4e0a\u9762<\/p>\n<ul>\n<li><a href=\"http:\/\/datajournalismhandbook.org\/\">\u300aData Journalism Handbook\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u514d\u8d39\u7535\u5b50\u4e66\u300a\u6570\u636e\u65b0\u95fb\u624b\u518c\u300b, \u56fd\u5185\u6709\u70ed\u5fc3\u7684\u670b\u53cb\u7ffb\u8bd1\u4e86<a href=\"http:\/\/datajournalismhandbook.org\/chinese\/index.html\">\u4e2d\u6587\u7248<\/a>,\u5927\u5bb6\u4e5f\u53ef\u4ee5<a href=\"http:\/\/datajournalismhandbook.org\/1.0\/en\/\">\u5728\u7ebf\u9605\u8bfb<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/highlyscalable.wordpress.com\/2015\/03\/10\/data-mining-problems-in-retail\/\">\u300aData Mining Problems in Retail\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u96f6\u552e\u9886\u57df\u7684\u6570\u636e\u6316\u6398\u6587\u7ae0.<\/p>\n<ul>\n<li><a href=\"https:\/\/timdettmers.wordpress.com\/2015\/03\/26\/convolution-deep-learning\/\">\u300aUnderstanding Convolution in Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6df1\u5ea6\u5b66\u4e60\u5377\u79ef\u6982\u5ff5\u8be6\u89e3,\u6df1\u5165\u6d45\u51fa.<\/p>\n<ul>\n<li><a href=\"http:\/\/pandas.pydata.org\/\">\u300apandas: powerful Python data analysis toolkit\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u975e\u5e38\u5f3a\u5927\u7684Python\u7684\u6570\u636e\u5206\u6790\u5de5\u5177\u5305.<\/p>\n<ul>\n<li><a href=\"http:\/\/breakthroughanalysis.com\/2015\/03\/23\/text-analytics-2015\/\">\u300aText Analytics 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: 2015\u6587\u672c\u5206\u6790(\u5546\u4e1a)\u5e94\u7528\u7efc\u8ff0.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.slideshare.net\/VincenzoLomonaco\/deep-learning-libraries-and-rst-experiments-with-theano\">\u300aDeep Learning libraries and \ufb01rst experiments with Theano\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3001\u5e93\u8c03\u7814\u53caTheano\u7684\u521d\u6b65\u6d4b\u8bd5\u4f53\u4f1a\u62a5\u544a.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.deeplearningbook.org\/\">\u300aDEEP learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: MIT\u7684Yoshua Bengio, Ian Goodfellow, Aaron Courville\u8457\u7b49\u4eba\u8bb2\u6df1\u5ea6\u5b66\u4e60\u7684\u65b0\u4e66\uff0c\u8fd8\u672a\u5b9a\u7a3f\uff0c\u7ebf\u4e0a\u63d0\u4f9bDraft chapters\u6536\u96c6\u53cd\u9988\uff0c\u8d85\u8d5e\uff01\u5f3a\u70c8\u63a8\u8350.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/hickeroar\/simplebayes\">\u300asimplebayes\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Python\u4e0b\u5f00\u6e90\u53ef\u6301\u4e45\u5316\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5e93.<\/p>\n<ul>\n<li><a href=\"http:\/\/paracel.io\/\">\u300aParacel\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Paracel is a distributed computational framework designed for machine learning problems, graph algorithms and scientific computing in C++.<\/p>\n<ul>\n<li><a href=\"http:\/\/hanlp.linrunsoft.com\/\">\u300aHanLP:Han Language processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5f00\u6e90\u6c49\u8bed\u8a00\u5904\u7406\u5305.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.rubylab.io\/2015\/03\/18\/simple-neural-network-implenentation-in-ruby\/\">\u300aSimple Neural Network implementation in Ruby\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4f7f\u7528Ruby\u5b9e\u73b0\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u4f8b\u5b50.<\/p>\n<ul>\n<li><a href=\"https:\/\/karpathy.github.io\/neuralnets\/\">\u300aHacker&#8217;s guide to Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u795e\u7ecf\u7f51\u7edc\u9ed1\u5ba2\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/datasciencemasters.org\/\">\u300aThe Open-Source Data Science Masters\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u597d\u591a\u6570\u636e\u79d1\u5b66\u5bb6\u540d\u4eba\u63a8\u8350,\u8fd8\u6709\u8d44\u6599.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1502.01710\">\u300aText Understanding from Scratch\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5b9e\u73b0\u9879\u76ee\u5df2\u7ecf\u5f00\u6e90\u5728github\u4e0a\u9762<a href=\"https:\/\/github.com\/zhangxiangxiao\/Crepe\">Crepe<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/levyomer.files.wordpress.com\/2015\/03\/improving-distributional-similarity-tacl-2015.pdf\">\u300a Improving Distributional Similarity with Lessons Learned from Word Embeddings\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f5c\u8005\u53d1\u73b0\uff0c\u7ecf\u8fc7\u8c03\u53c2\uff0c\u4f20\u7edf\u7684\u65b9\u6cd5\u4e5f\u80fd\u548cword2vec\u53d6\u5f97\u5dee\u4e0d\u591a\u7684\u6548\u679c\u3002\u53e6\u5916\uff0c\u65e0\u8bba\u4f5c\u8005\u600e\u4e48\u8bd5\uff0cGloVe\u90fd\u6bd4\u4e0d\u8fc7word2vec.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs224d.stanford.edu\/index.html\">\u300aCS224d: Deep Learning for Natural Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Stanford\u6df1\u5ea6\u5b66\u4e60\u4e0e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u8bfe\u7a0b,Richard Socher\u4e3b\u8bb2.<\/p>\n<ul>\n<li><a href=\"http:\/\/courses.washington.edu\/css490\/2012.Winter\/lecture_slides\/02_math_essentials.pdf\">\u300aMath Essentials in Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u91cd\u8981\u6570\u5b66\u6982\u5ff5.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1503.00007\">\u300aImproved Semantic Representations From Tree-Structured Long Short-Term Memory Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u4e8e\u6539\u8fdb\u8bed\u4e49\u8868\u793a\u7684\u6811\u578bLSTM\u9012\u5f52\u795e\u7ecf\u7f51\u7edc,\u53e5\u5b50\u7ea7\u76f8\u5173\u6027\u5224\u65ad\u548c\u60c5\u611f\u5206\u7c7b\u6548\u679c\u5f88\u597d.<a href=\"https:\/\/github.com\/stanfordnlp\/treelstm\">\u5b9e\u73b0\u4ee3\u7801<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.stat.cmu.edu\/%7Elarry\/=sml\/\">\u300aStatistical Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5361\u8010\u57fa\u6885\u9686Ryan Tibshirani\u548cLarry Wasserman\u5f00\u8bbe\u7684\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\uff0c\u5148\u4fee\u8bfe\u7a0b\u4e3a\u673a\u5668\u5b66\u4e60(10-715)\u548c\u4e2d\u7ea7\u7edf\u8ba1\u5b66(36-705)\uff0c\u805a\u7126\u7edf\u8ba1\u7406\u8bba\u548c\u65b9\u6cd5\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\u5e94\u7528.<\/p>\n<ul>\n<li><a href=\"http:\/\/am207.org\/\">\u300aAM207: Monte Carlo Methods, Stochastic Optimization\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u300a\u54c8\u4f5b\u5927\u5b66\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u4e0e\u968f\u673a\u4f18\u5316\u8bfe\u7a0b\u300b\u662f\u54c8\u4f5b\u5e94\u7528\u6570\u5b66\u7814\u7a76\u751f\u8bfe\u7a0b\uff0c\u7531V Kaynig-Fittkau\u3001P Protopapas\u4e3b\u8bb2\uff0cPython\u7a0b\u5e8f\u793a\u4f8b\uff0c\u5bf9\u8d1d\u53f6\u65af\u63a8\u7406\u611f\u5174\u8da3\u7684\u670b\u53cb\u4e00\u5b9a\u8981\u770b\u770b\uff0c\u63d0\u4f9b\u6388<a href=\"http:\/\/nbviewer.ipython.org\/github\/AM207\/2015\/tree\/master\/Lectures\/\">\u8bfe\u89c6\u9891\u53ca\u8bfe\u4e0aIPN\u8bb2\u4e49<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/spark-summit.org\/wp-content\/uploads\/2015\/03\/SSE15-40-Danford.pdf\">\u300a\u751f\u7269\u533b\u5b66\u7684SPARK\u5927\u6570\u636e\u5e94\u7528\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u751f\u7269\u533b\u5b66\u7684SPARK\u5927\u6570\u636e\u5e94\u7528.\u5e76\u4e14\u4f2f\u514b\u5229\u5f00\u6e90\u4e86\u4ed6\u4eec\u7684big data genomics\u7cfb\u7edf<a href=\"https:\/\/github.com\/bigdatagenomics\/adam\">ADAM<\/a>\uff0c\u5176\u4ed6\u7684\u5185\u5bb9\u53ef\u4ee5\u5173\u6ce8\u4e00\u4e0b<a href=\"http:\/\/spark-summit.org\/\">\u5b98\u65b9\u4e3b\u9875<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/aclanthology.info\/\">\u300aACL Anthology\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5bf9\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u6216\u8005\u673a\u5668\u7ffb\u8bd1\u6280\u672f\u611f\u5174\u8da3\u7684\u4eb2\u4eec\uff0c\u8bf7\u5728\u63d0\u51fa\u81ea\u5df1\u725b\u903c\u5230\u65e0\u4ee5\u4f26\u6bd4\u7684idea\uff08\u81ea\u52a8\u5f52\u7eb3\u7ffb\u8bd1\u89c4\u5f8b\u3001\u81ea\u52a8\u7406\u89e3\u8bed\u5883\u3001\u81ea\u52a8\u8bc6\u522b\u8bed\u4e49\u7b49\u7b49\uff09\u4e4b\u524d\uff0c\u8bf7\u901a\u8fc7\u8c37\u6b4c\u5b66\u672f\u7b80\u5355\u641c\u4e00\u4e0b\uff0c\u5982\u679c\u8c37\u6b4c\u4e0d\u53ef\u7528\uff0c\u8fd9\u4e2a\u7f51\u5740\u6709\u8fd9\u4e2a\u9886\u57df\u51e0\u5927\u9876\u4f1a\u7684\u8bba\u6587\u5217\u8868,\u5207\u4e0d\u53ef\u65ad\u7ae0\u53d6\u4e49,\u80e1\u4e71\u5047\u8bbe.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.uni-weimar.de\/medien\/webis\/publications\/papers\/stein_2015b.pdf\">\u300aTwitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bba\u6587+\u4ee3\u7801:\u57fa\u4e8e\u96c6\u6210\u65b9\u6cd5\u7684Twitter\u60c5\u611f\u5206\u7c7b,<a href=\"https:\/\/github.com\/webis-de\/ECIR-2015-and-SEMEVAL-2015\">\u5b9e\u73b0\u4ee3\u7801<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/ciml.chalearn.org\/schedule\">\u300aNIPS 2014 CIML workshop\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NIPS CiML 2014\u7684PPT,NIPS\u662f\u795e\u7ecf\u4fe1\u606f\u5904\u7406\u7cfb\u7edf\u8fdb\u5c55\u5927\u4f1a\u7684\u82f1\u6587\u7b80\u79f0.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs231n.stanford.edu\/reports.html\">\u300aCS231n: Convolutional Neural Networks for Visual Recognition\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65af\u5766\u798f\u7684\u6df1\u5ea6\u5b66\u4e60\u8bfe\u7a0b\u7684Projects \u6bcf\u4e2a\u4eba\u90fd\u8981\u5199\u4e00\u4e2a\u8bba\u6587\u7ea7\u522b\u7684\u62a5\u544a \u91cc\u9762\u6709\u4e00\u4e9b\u5f88\u6709\u610f\u601d\u7684\u5e94\u7528 \u5927\u5bb6\u53ef\u4ee5\u770b\u770b .<\/p>\n<ul>\n<li><a href=\"http:\/\/www.sumsar.net\/blog\/2015\/03\/a-speed-comparison-between-flexible-linear-regression-alternatives-in-r\/\">\u300aA Speed Comparison Between Flexible Linear Regression Alternatives in R\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R\u8bed\u8a00\u7ebf\u6027\u56de\u5f52\u591a\u65b9\u6848\u901f\u5ea6\u6bd4\u8f83\u5177\u4f53\u65b9\u6848\u5305\u62eclm()\u3001nls()\u3001glm()\u3001bayesglm()\u3001nls()\u3001mle2()\u3001optim()\u548cStan\u2019s optimizing()\u7b49.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.allthingsdistributed.com\/2015\/04\/machine-learning.html\">\u300aBack-to-Basics Weekend Reading &#8211; Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6587\u4e2d\u63d0\u5230\u7684\u4e09\u7bc7\u8bba\u6587\uff08\u673a\u5668\u5b66\u4e60\u90a3\u4e9b\u4e8b\u3001\u65e0\u76d1\u7763\u805a\u7c7b\u7efc\u8ff0\u3001\u76d1\u7763\u5206\u7c7b\u7efc\u8ff0\uff09\u90fd\u5f88\u7ecf\u5178\uff0cDomnigos\u7684\u673a\u5668\u5b66\u4e60\u8bfe\u4e5f\u5f88\u7cbe\u5f69<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1504.00641\">\u300aA Probabilistic Theory of Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u83b1\u65af\u5927\u5b66\uff08Rice University\uff09\u7684\u6df1\u5ea6\u5b66\u4e60\u7684\u6982\u7387\u7406\u8bba.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.gregreda.com\/2015\/03\/30\/beer-review-markov-chains\/\">\u300aNonsensical beer reviews via Markov chains\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8e\u9a6c\u5c14\u53ef\u592b\u94fe\u81ea\u52a8\u751f\u6210\u5564\u9152\u8bc4\u8bba\u7684\u5f00\u6e90Twitter\u673a\u5668\u4eba,<a href=\"https:\/\/github.com\/gjreda\/beer-snob-says\">github\u5730\u5740<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/nlp.stanford.edu\/courses\/NAACL2013\/\">\u300aDeep Learning for Natural Language Processing (without Magic)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u89c6\u9891+\u8bb2\u4e49:\u6df1\u5ea6\u5b66\u4e60\u7528\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6559\u7a0b(NAACL13).<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=U4IYsLgNgoY&amp;hd=1\">\u300aIntroduction to Data Analysis using Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u673a\u5668\u5b66\u4e60\u505a\u6570\u636e\u5206\u6790,David Taylor\u6700\u8fd1\u5728McGill University\u7814\u8ba8\u4f1a\u4e0a\u7684\u62a5\u544a\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u8bb2\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u7684ipn\uff0c\u5f88\u6709\u4ef7\u503c <a href=\"https:\/\/github.com\/Prooffreader\/intro_machine_learning\">GitHub<\/a>.<a href=\"http:\/\/pan.baidu.com\/s\/1mgtE9te\">\u56fd\u5185<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1503.08909\">\u300aBeyond Short Snippets: Deep Networks for Video Classification\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eCNN+LSTM\u7684\u89c6\u9891\u5206\u7c7b,<a href=\"http:\/\/pan.baidu.com\/s\/1c0cZS9E\">google\u6f14\u793a<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.quora.com\/How-does-Quora-use-machine-learning-in-2015\/answer\/Xavier-Amatriain\">\u300aHow does Quora use machine learning in 2015?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Quora\u600e\u4e48\u7528\u673a\u5668\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"https:\/\/aws.amazon.com\/cn\/blogs\/aws\/amazon-machine-learning-make-data-driven-decisions-at-scale\/\">\u300aAmazon Machine Learning \u2013 Make Data-Driven Decisions at Scale\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e9a\u9a6c\u900a\u5728\u673a\u5668\u5b66\u4e60\u4e0a\u9762\u7684\u4e00\u4e9b\u5e94\u7528,<a href=\"https:\/\/github.com\/awslabs\/machine-learning-samples\">\u4ee3\u7801\u793a\u4f8b<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ogrisel\/parallel_ml_tutorial\">\u300aParallel Machine Learning with scikit-learn and IPython\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5e76\u884c\u673a\u5668\u5b66\u4e60\u6307\u5357(\u57fa\u4e8escikit-learn\u548cIPython).<a href=\"http:\/\/nbviewer.ipython.org\/github\/ogrisel\/parallel_ml_tutorial\/tree\/master\/notebooks\/\">notebook<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/blog.kaggle.com\/2015\/04\/08\/new-video-series-introduction-to-machine-learning-with-scikit-learn\/\">\u300aIntro to machine learning with scikit-learn\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:DataSchool\u7684\u673a\u5668\u5b66\u4e60\u57fa\u672c\u6982\u5ff5\u6559\u5b66.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/hughperkins\/DeepCL\">\u300aDeepCLn\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u4e2a\u57fa\u4e8eOpenGL\u5b9e\u73b0\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff0c\u652f\u6301Linux\u53caWindows\u7cfb.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.mapr.com\/blog\/inside-look-at-components-of-recommendation-engine\">\u300aAn Inside Look at the Components of a Recommendation Engine\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eMahout\u548cElasticsearch\u7684\u63a8\u8350\u7cfb\u7edf.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ssc.upenn.edu\/%7Efdiebold\/Teaching221\/econ221.html\">\u300aForecasting in Economics, Business, Finance and Beyond\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Francis X. Diebold\u7684\u300a(\u7ecf\u6d4e|\u5546\u4e1a|\u91d1\u878d\u7b49\u9886\u57df)\u9884\u6d4b\u65b9\u6cd5.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ssc.upenn.edu\/%7Efdiebold\/Teaching706\/econ706Penn.html\">\u300aTime Series Econometrics &#8211; A Concise Course\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Francis X. Diebold\u7684\u300a\u65f6\u5e8f\u8ba1\u91cf\u7ecf\u6d4e\u5b66\u300b.<\/p>\n<ul>\n<li><a href=\"http:\/\/fotiad.is\/blog\/sentiment-analysis-comparison\/\">\u300aA comparison of open source tools for sentiment analysis\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eYelp\u6570\u636e\u96c6\u7684\u5f00\u6e90<a href=\"https:\/\/github.com\/sfotiadis\/yenlp\">\u60c5\u611f\u5206\u6790\u5de5\u5177<\/a>\u6bd4\u8f83,\u8bc4\u6d4b\u8986\u76d6Naive Bayes\u3001SentiWordNet\u3001CoreNLP\u7b49 .<\/p>\n<ul>\n<li><a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2u_sAZ\">\u300aPattern Recognition And Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u56fd\u5185Pattern Recognition And Machine Learning\u8bfb\u4e66\u4f1a\u8d44\u6e90\u6c47\u603b,<a href=\"http:\/\/vdisk.weibo.com\/u\/1841149974\">\u5404\u7ae0pdf\u8bb2\u7a3f<\/a>,<a href=\"http:\/\/www.cnblogs.com\/Nietzsche\/\">\u535a\u5ba2<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/highlyscalable.wordpress.com\/2012\/05\/01\/probabilistic-structures-web-analytics-data-mining\/\">\u300aProbabilistic Data Structures for Web Analytics and Data Mining \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u4e8eWeb\u5206\u6790\u548c\u6570\u636e\u6316\u6398\u7684\u6982\u7387\u6570\u636e\u7ed3\u6784.<\/p>\n<ul>\n<li><a href=\"https:\/\/blindmotion.github.io\/2015\/04\/11\/ml-in-navigation\/\">\u300aMachine learning in navigation devices: detect maneuvers using accelerometer and gyroscope\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5728\u5bfc\u822a\u4e0a\u9762\u7684\u5e94\u7528.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/user\/Taylorns34\/videos\">\u300aNeural Networks Demystified \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Neural Networks Demystified\u7cfb\u5217\u89c6\u9891\uff0cStephen Welch\u5236\u4f5c\uff0c\u7eaf\u624b\u7ed8\u98ce\u683c\uff0c\u6d45\u663e\u6613\u61c2,<a href=\"http:\/\/pan.baidu.com\/s\/1i3AFURj\">\u56fd\u5185\u4e91<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.datacamp.com\/swirl-r-tutorial\">\u300aswirl + DataCamp \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:{swirl}\u6570\u636e\u8bad\u7ec3\u8425:R&amp;\u6570\u636e\u79d1\u5b66\u5728\u7ebf\u4ea4\u4e92\u6559\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.terminal.com\/recurrent-neural-networks-deep-net-optimization-lstm\/\">\u300aLearning to Read with Recurrent Neural Networks \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5173\u4e8e\u6df1\u5ea6\u5b66\u4e60\u548cRNN\u7684\u8ba8\u8bba <a href=\"http:\/\/arxiv.org\/abs\/1409.3215\">Sequence to Sequence Learning with Neural Networks<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/wanghaitao8118.blog.163.com\/blog\/static\/13986977220153811210319\/\">\u300a\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\uff08Deep Reinforcement Learning\uff09\u7684\u8d44\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Deep Reinforcement Learning.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/jakevdp\/sklearn_pycon2015\">\u300aMachine Learning with Scikit-Learn\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(PyCon2015)Scikit-Learn\u673a\u5668\u5b66\u4e60\u6559\u7a0b,<a href=\"https:\/\/github.com\/ogrisel\/parallel_ml_tutorial\">Parallel Machine Learning with scikit-learn and IPython<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.cmu.edu\/%7Eymiao\/pdnntk.html\">\u300aPDNN\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:PDNN: A Python Toolkit for Deep Learning.<\/p>\n<ul>\n<li><a href=\"http:\/\/alex.smola.org\/teaching\/10-701-15\/index.html\">\u300aIntroduction to Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:15\u5e74\u6625\u5b63\u5b66\u671fCMU\u7684\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\uff0c\u7531Alex Smola\u4e3b\u8bb2\uff0c\u63d0\u4f9b\u8bb2\u4e49\u53ca\u6388\u8bfe\u89c6\u9891\uff0c\u5f88\u4e0d\u9519.<a href=\"http:\/\/pan.baidu.com\/s\/1pJxBePX\">\u56fd\u5185\u955c\u50cf<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.st.ewi.tudelft.nl\/%7Ehauff\/TI2736-B.html\">\u300aBig Data Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5927\u6570\u636e\u5904\u7406\u8bfe.\u5185\u5bb9\u8986\u76d6\u6d41\u5904\u7406\u3001MapReduce\u3001\u56fe\u7b97\u6cd5\u7b49.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.hakkalabs.co\/articles\/spark-mllib-making-practical-machine-learning-easy-and-scalable\">\u300aSpark MLlib: Making Practical Machine Learning Easy and Scalable\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528Spark MLlib\u5b9e\u73b0\u6613\u7528\u53ef\u6269\u5c55\u7684\u673a\u5668\u5b66\u4e60,<a href=\"http:\/\/pan.baidu.com\/s\/1gdxSOZh\">\u56fd\u5185\u955c\u50cf<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/mrkulk.github.io\/www_cvpr15\/\">\u300aPicture: A Probabilistic Programming Language for Scene Perception\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4ee5\u5f80\u4e0a\u5343\u884c\u4ee3\u7801\u6982\u7387\u7f16\u7a0b(\u8bed\u8a00)\u5b9e\u73b0\u53ea\u970050\u884c.<\/p>\n<ul>\n<li><a href=\"http:\/\/zevross.com\/blog\/2014\/08\/04\/beautiful-plotting-in-r-a-ggplot2-cheatsheet-3\/\">\u300aBeautiful plotting in R: A ggplot2 cheatsheet\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:ggplot2\u901f\u67e5\u5c0f\u518c\u5b50,<a href=\"http:\/\/www.ling.upenn.edu\/%7Ejoseff\/avml2012\/\">\u53e6\u5916\u4e00\u4e2a<\/a>,\u6b64\u5916\u8fd8\u63a8\u8350<a href=\"http:\/\/zevross.com\/blog\/2015\/01\/13\/a-new-data-processing-workflow-for-r-dplyr-magrittr-tidyr-ggplot2\/\">\u300aA new data processing workflow for R: dplyr, magrittr, tidyr, ggplot2\u300b<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/emnlp2014.org\/papers\/pdf\/EMNLP2014148.pdf\">\u300aUsing Structured Events to Predict Stock Price Movement: An Empirical Investigation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u7ed3\u6784\u5316\u6a21\u578b\u6765\u9884\u6d4b\u5b9e\u65f6\u80a1\u7968\u884c\u60c5.<\/p>\n<ul>\n<li><a href=\"http:\/\/ijcai-15.org\/index.php\/accepted-papers\">\u300aInternational Joint Conference on Artificial Intelligence Accepted paper\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/ijcai.org\/\">\u56fd\u9645\u4eba\u5de5\u667a\u80fd\u8054\u5408\u4f1a\u8bae<\/a>\u5f55\u53d6\u8bba\u6587\u5217\u8868,\u5927\u90e8\u5206\u8bba\u6587\u53ef\u4f7f\u7528Google\u627e\u5230.<\/p>\n<ul>\n<li><a href=\"http:\/\/petewarden.com\/2015\/04\/20\/why-gemm-is-at-the-heart-of-deep-learning\/\">\u300aWhy GEMM is at the heart of deep learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u822c\u77e9\u9635\u4e58\u6cd5(GEMM)\u5bf9\u6df1\u5ea6\u5b66\u4e60\u7684\u91cd\u8981\u6027.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/dmlc\">\u300aDistributed (Deep) Machine Learning Common\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:A Community of awesome Distributed Machine Learning C++ projects.<\/p>\n<ul>\n<li><a href=\"http:\/\/webdocs.cs.ualberta.ca\/%7Esutton\/book\/the-book.html\">\u300aReinforcement Learning: An Introduction\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u7535\u5b50\u4e66&lt;\u5f3a\u5316\u5b66\u4e60\u4ecb\u7ecd&gt;,<a href=\"http:\/\/pan.baidu.com\/s\/1jkaMq\">\u7b2c\u4e00\u7248(1998)<\/a>,<a href=\"http:\/\/pan.baidu.com\/s\/1dDnNEnR\">\u7b2c\u4e8c\u7248(2015\u8349\u7a3f)<\/a>,\u76f8\u5173\u8bfe\u7a0b<a href=\"http:\/\/incompleteideas.net\/rlai.cs.ualberta.ca\/RLAI\/RLAIcourse\/2010.html\">\u8d44\u6599<\/a>,<a href=\"http:\/\/www.inf.ed.ac.uk\/teaching\/courses\/rl\/\">Reinforcement Learning<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/blogs.msdn.com\/b\/microsoft_press\/archive\/2015\/04\/15\/free-ebook-microsoft-azure-essentials-azure-machine-learning.aspx\">\u300aFree ebook: Microsoft Azure Essentials: Azure Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u4e66:Azure ML\u4f7f\u7528\u7cbe\u8981.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.toptal.com\/machine-learning\/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks\">\u300aA Deep Learning Tutorial: From Perceptrons to Deep Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:A Deep Learning Tutorial: From Perceptrons to Deep Networks.<\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/@ageitgey\/machine-learning-is-fun-80ea3ec3c471\">\u300aMachine Learning is Fun! &#8211; The world\u2019s easiest introduction to Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6709\u8da3\u7684\u673a\u5668\u5b66\u4e60\uff1a\u6700\u7b80\u660e\u5165\u95e8\u6307\u5357,<a href=\"http:\/\/blog.jobbole.com\/67616\/\">\u4e2d\u6587\u7248<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/yyue.blogspot.com\/2015\/01\/a-brief-overview-of-deep-learning.html\">\u300aA Brief Overview of Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u7b80\u660e\u4ecb\u7ecd,<a href=\"http:\/\/xhrwang.me\/2015\/01\/16\/a-brief-overview-of-deep-learning.html\">\u4e2d\u6587\u7248<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/dmlc\/wormhole\">\u300aWormhole\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Portable, scalable and reliable distributed machine learning.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/soumith\/convnet-benchmarks\">\u300aconvnet-benchmarks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:CNN\u5f00\u6e90\u5b9e\u73b0\u6a2a\u5411\u8bc4\u6d4b,\u53c2\u8bc4\u6846\u67b6\u5305\u62ecCaffe \u3001Torch-7\u3001CuDNN \u3001cudaconvnet2 \u3001fbfft\u3001Nervana Systems\u7b49\uff0cNervanaSys\u8868\u73b0\u7a81\u51fa.<\/p>\n<ul>\n<li><a href=\"http:\/\/islpc21.is.cs.cmu.edu:3000\/lti_catalogue\">\u300aThis catalogue lists resources developed by faculty and students of the Language Technologies Institute.\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5361\u8010\u57fa\u6885\u9686\u5927\u5b66\u8ba1\u7b97\u673a\u5b66\u9662\u8bed\u8a00\u6280\u672f\u7cfb\u7684\u8d44\u6e90\u5927\u5168,\u5305\u62ec\u5927\u91cf\u7684NLP\u5f00\u6e90\u8f6f\u4ef6\u5de5\u5177\u5305\uff0c\u57fa\u7840\u6570\u636e\u96c6\uff0c\u8bba\u6587\u96c6\uff0c\u6570\u636e\u6316\u6398\u6559\u7a0b\uff0c\u673a\u5668\u5b66\u4e60\u8d44\u6e90.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/mayank93\/Twitter-Sentiment-Analysis\">\u300aSentiment Analysis on Twitter\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Twitter\u60c5\u611f\u5206\u6790\u5de5\u5177SentiTweet,<a href=\"http:\/\/pan.baidu.com\/s\/1i3kXPlj\">\u89c6\u9891+\u8bb2\u4e49<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearning.wustl.edu\/mlpapers\/venues\">\u300aMachine Learning Repository @ Wash U\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u534e\u76db\u987f\u5927\u5b66\u7684Machine Learning Paper Repository.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/soulmachine\/machine-learning-cheat-sheet\">\u300aMachine learning cheat sheet\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u901f\u67e5\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/spark-summit.org\/east\">\u300aSpark summit east 2015 agenda\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6700\u65b0\u7684Spark summit\u4f1a\u8bae\u8d44\u6599.<\/p>\n<ul>\n<li><a href=\"http:\/\/spark-summit.org\/east\">\u300aSpark summit east 2015 agenda\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6700\u65b0\u7684Spark summit\u4f1a\u8bae\u8d44\u6599.<\/p>\n<ul>\n<li><a href=\"http:\/\/pan.baidu.com\/s\/1eQkybJG\">\u300aLearning Spark\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Ebook Learning Spark.<\/p>\n<ul>\n<li><a href=\"http:\/\/pan.baidu.com\/s\/1jGot9qe\">\u300aAdvanced Analytics with Spark, Early Release Edition\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Ebook Advanced Analytics with Spark, Early Release Edition.<\/p>\n<ul>\n<li><a href=\"http:\/\/keg.cs.tsinghua.edu.cn\/jietang\/\">\u300a\u56fd\u5185\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u53ca\u5e94\u7528\u9886\u57df\u4eba\u7269\u7bc7:\u5510\u6770\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6e05\u534e\u5927\u5b66\u526f\u6559\u6388\uff0c\u662f\u56fe\u6316\u6398\u65b9\u9762\u7684\u4e13\u5bb6\u3002\u4ed6\u4e3b\u6301\u8bbe\u8ba1\u548c\u5b9e\u73b0\u7684Arnetminer\u662f\u56fd\u5185\u9886\u5148\u7684\u56fe\u6316\u6398\u7cfb\u7edf\uff0c\u8be5\u7cfb\u7edf\u4e5f\u662f\u591a\u4e2a\u4f1a\u8bae\u7684\u652f\u6301\u5546.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cse.ust.hk\/%7Eqyang\/\">\u300a\u56fd\u5185\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u53ca\u5e94\u7528\u9886\u57df\u4eba\u7269\u7bc7:\u6768\u5f3a\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fc1\u79fb\u5b66\u4e60\u7684\u56fd\u9645\u9886\u519b\u4eba\u7269.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs.nju.edu.cn\/zhouzh\/\">\u300a\u56fd\u5185\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u53ca\u5e94\u7528\u9886\u57df\u4eba\u7269\u7bc7:\u5468\u5fd7\u534e\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5728\u534a\u76d1\u7763\u5b66\u4e60\uff0cmulti-label\u5b66\u4e60\u548c\u96c6\u6210\u5b66\u4e60\u65b9\u9762\u5728\u56fd\u9645\u4e0a\u6709\u4e00\u5b9a\u7684\u5f71\u54cd\u529b.<\/p>\n<ul>\n<li><a href=\"http:\/\/ir.hit.edu.cn\/%7Ewanghaifeng\/whf_pub.htm\">\u300a\u56fd\u5185\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u53ca\u5e94\u7528\u9886\u57df\u4eba\u7269\u7bc7:\u738b\u6d77\u5cf0\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4fe1\u606f\u68c0\u7d22\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0c\u673a\u5668\u7ffb\u8bd1\u65b9\u9762\u7684\u4e13\u5bb6.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.jhu.edu\/%7Ejunwu\/\">\u300a\u56fd\u5185\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u53ca\u5e94\u7528\u9886\u57df\u4eba\u7269\u7bc7:\u5434\u519b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5434\u519b\u535a\u58eb\u662f\u5f53\u524dGoogle\u4e2d\u65e5\u97e9\u6587\u641c\u7d22\u7b97\u6cd5\u7684\u4e3b\u8981\u8bbe\u8ba1\u8005\u3002\u5728Google\u5176\u95f4\uff0c\u4ed6\u9886\u5bfc\u4e86\u8bb8\u591a\u7814\u53d1\u9879\u76ee\uff0c\u5305\u62ec\u8bb8\u591a\u4e0e\u4e2d\u6587\u76f8\u5173\u7684\u4ea7\u54c1\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u9879\u76ee,\u4ed6\u7684<a href=\"https:\/\/sites.google.com\/site\/junwu02\">\u65b0\u4e2a\u4eba\u4e3b\u9875<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.eecs.berkeley.edu\/%7Ejunyanz\/cat\/cat_papers.html\">\u300aCat Paper Collection\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u55b5\u661f\u4eba\u76f8\u5173\u8bba\u6587\u96c6.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.dato.com\/how-to-evaluate-machine-learning-models-part-1-orientation\">\u300aHow to Evaluate Machine Learning Models, Part 1: Orientation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5982\u4f55\u8bc4\u4ef7\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7cfb\u5217\u6587\u7ae0,<a href=\"http:\/\/blog.dato.com\/how-to-evaluate-machine-learning-models-part-2a-classification-metrics\">How to Evaluate Machine Learning Models, Part 2a: Classification Metrics<\/a>,<a href=\"http:\/\/blog.dato.com\/how-to-evaluate-machine-learning-models-part-2b-ranking-and-regression-metrics\">How to Evaluate Machine Learning Models, Part 2b: Ranking and Regression Metrics<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/blog.twitter.com\/2015\/building-a-new-trends-experience\">\u300aBuilding a new trends experience\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Twitter\u65b0trends\u7684\u57fa\u672c\u5b9e\u73b0\u6846\u67b6.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.packtpub.com\/big-data-and-business-intelligence\/storm-blueprints-patterns-distributed-real-time-computation\">\u300aStorm Blueprints: Patterns for Distributed Real-time Computation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Storm\u624b\u518c\uff0c\u56fd\u5185\u6709<a href=\"https:\/\/github.com\/cjie888\/storm-trident\">\u4e2d\u6587\u7ffb\u8bd1\u7248\u672c<\/a>,\u8c22\u8c22\u4f5c\u8005.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/haifengl\/smile\">\u300aSmileMiner\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Java\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5e93SmileMiner.<\/p>\n<ul>\n<li><a href=\"http:\/\/nlp.csai.tsinghua.edu.cn\/%7Ely\/talks\/cwmt14_tut.pdf\">\u300a\u673a\u5668\u7ffb\u8bd1\u5b66\u672f\u8bba\u6587\u5199\u4f5c\u65b9\u6cd5\u548c\u6280\u5de7\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u7ffb\u8bd1\u5b66\u672f\u8bba\u6587\u5199\u4f5c\u65b9\u6cd5\u548c\u6280\u5de7\uff0cSimon Peyton Jones\u7684<a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/simonpj\/papers\/giving-a-talk\/giving-a-talk.htm\">How to write a good research paper<\/a>\u540c\u7c7b\u89c6\u9891<a href=\"https:\/\/www.youtube.com\/watch?v=g3dkRsTqdDA\">How to Write a Great Research Paper<\/a>,<a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2volht\">how to paper talk<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/zouxy09\/article\/details\/45288129\">\u300a\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u4e2d\u7684Tricks\u4e4b\u9ad8\u6548BP\uff08\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\uff09\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u4e2d\u7684Tricks\u4e4b\u9ad8\u6548BP,\u535a\u4e3b\u7684\u5176\u4ed6\u535a\u5ba2\u4e5f\u633a\u7cbe\u5f69\u7684.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.52cs.org\/?p=499\">\u300a\u6211\u548cNLP\u7684\u6545\u4e8b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f5c\u8005\u662fNLP\u65b9\u5411\u7684\u7855\u58eb\uff0c\u77ed\u77ed\u51e0\u5e74\u5185\u7814\u7a76\u6210\u679c\u9887\u4e30,\u63a8\u8350\u65b0\u5165\u95e8\u7684\u670b\u53cb\u9605\u8bfb.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.ucla.edu\/%7Epalsberg\/h-number.html\">\u300aThe h Index for Computer Science \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:UCLA\u7684Jens Palsberg\u6839\u636eGoogle Scholar\u5efa\u7acb\u4e86\u4e00\u4e2a\u8ba1\u7b97\u673a\u9886\u57df\u7684H-index\u725b\u4eba\u5217\u8868,\u6211\u4eec\u719f\u6089\u7684\u5404\u4e2a\u9886\u57df\u7684\u5927\u725b\u7edd\u5927\u591a\u6570\u90fd\u5728\u699c\u4e0a\uff0c\u5305\u62ec1\u4f4d\u8bfa\u8d1d\u5c14\u5956\u5f97\u4e3b\uff0c35\u4f4d\u56fe\u7075\u5956\u5f97\u4e3b\uff0c\u8fd1 \u767e\u4f4d\u7f8e\u56fd\u5de5\u7a0b\u9662\/\u79d1\u5b66\u9662\u9662\u58eb\uff0c300\u591a\u4f4dACM Fellow,\u5728\u8fd9\u91cc\u63a8\u8350\u7684\u539f\u56e0\u662f\u5927\u5bb6\u53ef\u4ee5\u5728google\u901a\u8fc7\u641c\u7d22\u725b\u4eba\u7684\u540d\u5b57\u6765\u83b7\u53d6\u66f4\u591a\u7684\u8d44\u6e90,\u8fd9\u4efd\u8d44\u6599\u5f88\u5b9d\u8d35.<\/p>\n<ul>\n<li><a href=\"http:\/\/ttic.uchicago.edu\/%7Embansal\/papers\/acl14_structuredTaxonomy.pdf\">\u300aStructured Learning for Taxonomy Induction with Belief Propagation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u5927\u578b\u8bed\u6599\u5e93\u5b66\u4e60\u6982\u5ff5\u7684\u5c42\u6b21\u5173\u7cfb\uff0c\u5982\u9e1f\u662f\u9e66\u9e49\u7684\u4e0a\u7ea7\uff0c\u9e66\u9e49\u662f\u864e\u76ae\u9e66\u9e49\u7684\u4e0a\u7ea7\u3002\u521b\u65b0\u6027\u5728\u4e8e\u6a21\u578b\u6784\u9020\uff0c\u7528\u56e0\u5b50\u56fe\u523b\u753b\u6982\u5ff5\u4e4b\u95f4\u4f9d\u5b58\u5173\u7cfb\uff0c\u56e0\u5f15\u5165\u5144\u5f1f \u5173\u7cfb\uff0c\u56fe\u6709\u73af\uff0c\u6240\u4ee5\u7528\u6709\u73af\u6269\u6563\uff08loopy propagation\uff09\u8fed\u4ee3\u8ba1\u7b97\u8fb9\u9645\u6982\u7387\uff08marginal probability\uff09.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.stata.com\/stata14\/bayesian-analysis\/\">\u300aBayesian analysis\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8fd9\u662f\u4e00\u6b3e\u8d1d\u53f6\u65af\u5206\u6790\u7684\u5546\u4e1a\u8f6f\u4ef6,\u5b98\u65b9\u5199\u7684<a href=\"http:\/\/www.stata.com\/manuals14\/bayes.pdf\">\u8d1d\u53f6\u65af\u5206\u6790\u7684\u624b\u518c<\/a>\u6709250\u591a\u9875,\u867d\u7136R\u8bed\u8a00 \u5df2\u7ecf\u6709\u7c7b\u4f3c\u7684<a href=\"http:\/\/cran.r-project.org\/web\/views\/Bayesian.html\">\u9879\u76ee<\/a>,\u4f46\u6bd5\u7adf\u53ef\u4ee5\u589e\u52a0\u4e00\u4e2a\u53ef\u9009\u9879.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.quora.com\/Boris-Babenko\/Posts\/deep-net-highlights-from-2014\">\u300adeep net highlights from 2014\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:deep net highlights from 2014.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1504.08083v1.pdf\">\u300aFast R-CNN\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:This paper proposes Fast R-CNN, a clean and fast framework for object detection.<\/p>\n<ul>\n<li><a href=\"https:\/\/realpython.com\/blog\/python\/fingerprinting-images-for-near-duplicate-detection\/\">\u300aFingerprinting Images for Near-Duplicate Detection\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u56fe\u50cf\u6307\u7eb9\u7684\u91cd\u590d\u8bc6\u522b,\u4f5c\u8005<a href=\"https:\/\/github.com\/realpython\/image-fingerprinting\/blob\/master\/code\/output.csv\">\u6e90\u7801<\/a>,\u56fd\u5185<a href=\"http:\/\/www.cnblogs.com\/wing1995\/p\/4471034.html\">\u7ffb\u8bd1\u7248\u672c<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.ubc.ca\/%7Elowe\/vision.html\">\u300aThe Computer Vision Industry \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u63d0\u4f9b\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u673a\u5668\u89c6\u89c9\u5e94\u7528\u7684\u516c\u53f8\u4fe1\u606f\u6c47\u603b.\u5e94\u7528\u9886\u57df\u5305\u62ec\uff1a\u81ea\u52a8\u8f85\u52a9\u9a7e\u9a76\u548c\u4ea4\u901a\u7ba1\u7406\u3001\u773c\u7403\u548c\u5934\u90e8\u8ddf\u8e2a\u3001\u5f71\u89c6\u8fd0\u52a8\u5206\u6790\u3001\u5f71\u89c6\u4e1a\u3001\u624b\u52bf\u8bc6\u522b\u3001\u901a \u7528\u89c6\u89c9\u7cfb\u7edf\u3001\u5404\u79cd\u5de5\u4e1a\u81ea\u52a8\u5316\u548c\u68c0\u9a8c\u3001\u533b\u836f\u548c\u751f\u7269\u3001\u79fb\u52a8\u8bbe\u5907\u76ee\u6807\u8bc6\u522b\u548cAR\u3001\u4eba\u7fa4\u8ddf\u8e2a\u3001\u6444\u50cf\u3001\u5b89\u5168\u76d1\u63a7\u3001\u751f\u7269\u76d1\u63a7\u3001\u4e09\u7ef4\u5efa\u6a21\u3001web\u548c\u4e91\u5e94\u7528.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/mwaskom\/seaborn\">\u300aSeaborn: statistical data visualization\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Python\u7248\u53ef\u89c6\u5316\u6570\u636e\u7edf\u8ba1\u5f00\u6e90\u5e93.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.juanklopper.com\/opencourseware\/mathematics-2\/ipython-lecture-notes\/\">\u300aIPython lecture notes for OCW MIT 18.06\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9ebb\u7701\u7406\u5de5Gilbert Strang\u7ebf\u6027\u4ee3\u6570\u8bfe\u7a0b\u7b14\u8bb0,Gilbert Strang\u300aLinear Algebra\u300b\u8bfe\u7a0b\u4e3b\u9875<a href=\"http:\/\/ocw.mit.edu\/courses\/mathematics\/18-06sc-linear-algebra-fall-2011\/index.htm\">\u89c6\u9891+\u8bb2\u4e49<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning4j.org\/canova.html\">\u300aCanova: A Vectorization Lib for ML\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411\u673a\u5668\u5b66\u4e60\/\u6df1\u5ea6\u5b66\u4e60\u7684\u6570\u636e\u5411\u91cf\u5316\u5de5\u5177Canova,<a href=\"https:\/\/github.com\/deeplearning4j\/Canova\">github<\/a>, \u652f\u6301CSV\u6587\u4ef6\u3001MNIST\u6570\u636e\u3001TF-IDF\/Bag of Words\/word2vec\u6587\u672c\u5411\u91cf\u5316.<\/p>\n<ul>\n<li><a href=\"http:\/\/java.dzone.com\/articles\/dzone-refcardz-distributed\">\u300aDZone Refcardz: Distributed Machine Learning with Apache Mahout\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5feb\u901f\u5165\u95e8\uff1a\u57fa\u4e8eApache Mahout\u7684\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"http:\/\/nbviewer.ipython.org\/github\/gmonce\/scikit-learn-book\/tree\/master\/\">\u300aLearning scikit-learn: Machine Learning in Python\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8escikit-learn\u8bb2\u89e3\u4e86\u4e00\u4e9b\u673a\u5668\u5b66\u4e60\u6280\u672f\uff0c\u5982SVM\uff0cNB\uff0cPCA\uff0cDT\uff0c\u4ee5\u53ca\u7279\u5f81\u5de5\u7a0b\u3001\u7279\u5f81\u9009\u62e9\u548c\u6a21\u578b\u9009\u62e9\u95ee\u9898.<\/p>\n<ul>\n<li><a href=\"https:\/\/speakerdeck.com\/nivdul\/lightning-fast-machine-learning-with-spark\">\u300aLightning fast Machine Learning with Spark\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eSpark\u7684\u9ad8\u6548\u673a\u5668\u5b66\u4e60,<a href=\"https:\/\/www.parleys.com\/tutorial\/lightning-fast-machine-learning-spark\">\u89c6\u9891\u5730\u5740<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.wepay.com\/how-were-using-machine-learning-to-fight-shell-selling\/\">\u300aHow we\u2019re using machine learning to fight shell selling\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:WePay\u7528\u673a\u5668\u5b66\u4e60\u5bf9\u6297\u4fe1\u7528\u5361&#8221;shell selling&#8221;\u8bc8\u9a97.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.datasciencecentral.com\/profiles\/blog\/show?id=6448529:BlogPost:273276\">\u300aData Scientists Thoughts that Inspired Me\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:16\u4f4d\u6570\u636e\u79d1\u5b66\u5bb6\u8bed\u5f55\u7cbe\u9009.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.journalofbigdata.com\/content\/2\/1\/1\">\u300aDeep learning applications and challenges in big data analytics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u5728\u5927\u6570\u636e\u5206\u6790\u9886\u57df\u7684\u5e94\u7528\u548c\u6311\u6218.<\/p>\n<ul>\n<li><a href=\"http:\/\/resrc.io\/list\/10\/list-of-free-programming-books\/#machine-learning\">\u300aFree book:Machine Learning,Mathematics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u7684\u673a\u5668\u5b66\u4e60\u4e0e\u6570\u5b66\u4e66\u7c4d,\u9664\u6b64\u4e4b\u5916\u8fd8\u6709\u5176\u4ed6\u7684<a href=\"https:\/\/github.com\/vhf\/resrc\">\u514d\u8d39\u7f16\u7a0b\u4e66\u7c4d<\/a>,\u7f16\u7a0b\u8bed\u8a00,\u8bbe\u8ba1,\u64cd\u4f5c\u7cfb\u7edf\u7b49.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1505.01749.pdf\">\u300aObject detection via a multi-region &amp; semantic segmentation-aware CNN model\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u7bc7\u5173\u4e8eCNN\u6a21\u578b\u5bf9\u8c61\u8bc6\u522bPaper.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.shakirm.com\/2015\/05\/a-statistical-view-of-deep-learning-v-generalisation-and-regularisation\/\">\u300aA Statistical View of Deep Learning (V): Generalisation and Regularisation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u7684\u7edf\u8ba1\u5206\u6790V:\u6cdb\u5316\u548c\u6b63\u5219\u5316.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1505.00387\">\u300aHighway Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528SGD\u80fd\u9ad8\u6548\u5b8c\u6210\u8bad\u7ec3\u7684\u5927\u89c4\u6a21(\u591a\u5c42)\u6df1\u5ea6\u7f51\u7edcHN.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.erogol.com\/what-i-read-for-deep-learning\/\">\u300aWhat I Read For Deep-Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u89e3\u8bfb\u6587\u7ae0.<\/p>\n<ul>\n<li><a href=\"http:\/\/dataconomy.com\/an-introduction-to-recommendation-engines\">\u300aAn Introduction to Recommendation Engines\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Coursera\u4e0a\u7684\u63a8\u8350\u7cfb\u7edf\u5bfc\u8bba\uff08Introduction to Recommender Systems\uff09\u516c\u5f00\u8bfe.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.holehouse.org\/mlclass\/index.html\">\u300aStanford Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Andrew Ng\u7ecf\u5178\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\u7b14\u8bb0.<\/p>\n<ul>\n<li><a href=\"http:\/\/yaroslavvb.blogspot.de\/2015\/05\/iclr-2015_12.html\">\u300aICLR 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:ICLR 2015\u89c1\u95fb\u5f55,<a href=\"http:\/\/yaroslavvb.blogspot.de\/\">\u535a\u5ba2<\/a>\u7684\u5176\u4ed6\u673a\u5668\u5b66\u4e60\u6587\u7ae0\u4e5f\u4e0d\u9519.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cripac.ia.ac.cn\/People\/sw\/Xu2015PSR.pdf\">\u300aStanford Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u63a8\u8350\u7cfb\u7edf&#8221;\u4e2a\u6027\u5316\u8bed\u4e49\u6392\u5e8f&#8221;\u6a21\u578b.<\/p>\n<ul>\n<li><a href=\"http:\/\/senseable.mit.edu\/tweetbursts\/\">\u300aThe More Excited We Are, The Shorter We Tweet\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6fc0\u60c5\u65f6\u5206\u66f4\u60dc\u5b57\u2014\u2014MIT\u7684\u6700\u65b0Twitter\u7814\u7a76\u7ed3\u679c.<\/p>\n<ul>\n<li><a href=\"http:\/\/hlt.suda.edu.cn\/paper.html\">\u300a\u82cf\u5dde\u5927\u5b66\u4eba\u7c7b\u8bed\u8a00\u6280\u672f\u7814\u7a76\u8bba\u6587\u4e3b\u9875\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u82cf\u5dde\u5927\u5b66\u4eba\u7c7b\u8bed\u8a00\u6280\u672f\u7814\u7a76\u76f8\u5173\u8bba\u6587.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1505.00387\">\u300aNeural Turing Machines implementation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5b9e\u73b0\u795e\u7ecf\u56fe\u7075\u673a(NTM),<a href=\"https:\/\/github.com\/fumin\/ntm\">\u9879\u76ee\u5730\u5740<\/a>,\u6b64\u5916\u63a8\u8350\u76f8\u5173\u795e\u7ecf\u56fe\u7075\u673a<a href=\"http:\/\/www.i-programmer.info\/news\/105-artificial-intelligence\/7923-neural-turing-machines-learn-their-algorithms.html\">\u7b97\u6cd5<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cse.wustl.edu\/%7Efurukawa\/cse559a\/2015_spring\/\">\u300aComputer Vision &#8211; CSE 559A, Spring 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u534e\u76db\u987f\u5927\u5b66\u7684\u673a\u5668\u89c6\u89c9(2015),\u53c2\u8003\u8d44\u6599<a href=\"http:\/\/szeliski.org\/Book\/\">Computer Vision: Algorithms and Applications<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.mmds.org\/\">\u300aMining of Massive Datasets\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:&#8221;Mining of Massive Datasets&#8221;\u53d1\u5e03\u7b2c\u4e8c\u7248,Jure Leskovec, Anand Rajaraman, Jeff Ullman \u65b0\u7248\u589e\u52a0Jure Leskovec\u4f5c\u4e3a\u5408\u4f5c\u4f5c\u8005\uff0c\u65b0\u589e\u793e\u4ea4\u7f51\u7edc\u56fe\u6570\u636e\u6316\u6398\u3001\u964d\u7ef4\u548c\u5927\u89c4\u6a21\u673a\u5668\u5b66\u4e60\u4e09\u7ae0,<a href=\"http:\/\/pan.baidu.com\/s\/1GvtpG\">\u7535\u5b50\u7248<\/a>\u4f9d\u65e7\u514d\u8d39.<\/p>\n<ul>\n<li><a href=\"http:\/\/rt.dgyblog.com\/ref\/ref-learning-deep-learning.html\">\u300aLearning Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u8d44\u6e90\u9875,\u8d44\u6599\u5f88\u4e30\u5bcc.<\/p>\n<ul>\n<li><a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2ler9b\">\u300aLearning Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u7535\u5b50\u4e66&#8221;Learning Deep Learning&#8221;.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.astroml.org\/sklearn_tutorial\/index.html\">\u300aTutorial: Machine Learning for Astronomy with Scikit-learn\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Machine Learning for Astronomy with scikit-learn.<\/p>\n<ul>\n<li><a href=\"http:\/\/info.salford-systems.com\/an-introduction-to-random-forests-for-beginners\">\u300aAn Introduction to Random Forests for Beginners\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u7535\u5b50\u4e66&#8221;\u968f\u673a\u68ee\u6797\u5165\u95e8\u6307\u5357&#8221;.<\/p>\n<ul>\n<li><a href=\"http:\/\/rayli.net\/blog\/data\/top-10-data-mining-algorithms-in-plain-english\/\">\u300aTop 10 data mining algorithms in plain English\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u767d\u8bdd\u6570\u636e\u6316\u6398\u5341\u5927\u7b97\u6cd5.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.mapr.com\/blog\/inside-look-at-components-of-recommendation-engine#.VVmZ5vmqqko\">\u300aAn Inside Look at the Components of a Recommendation Engine\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eMahout\u548cElasticsearch\u7684\u63a8\u8350\u7cfb\u7edf,<a href=\"http:\/\/www.csdn.net\/article\/2015-05-14\/2824676\">\u56fd\u5185\u8bd1\u7248<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/aaltodoc.aalto.fi\/bitstream\/handle\/123456789\/15585\/isbn9789526061498.pdf\">\u300aAdvances in Extreme Learning Machines\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u535a\u58eb\u5b66\u4f4d\u8bba\u6587:ELM\u7814\u7a76\u8fdb\u5c55.<\/p>\n<ul>\n<li><a href=\"https:\/\/vimeo.com\/59324550\">\u300a10-minute tour of pandas\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Pandas\u5341\u5206\u949f\u901f\u89c8,<a href=\"http:\/\/nbviewer.ipython.org\/urls\/gist.github.com\/wesm\/4757075\/raw\/a72d3450ad4924d0e74fb57c9f62d1d895ea4574\/PandasTour.ipynb\">ipn<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/pudo.org\/blog\/2015\/05\/15\/document-mining.html\">\u300aData doesn&#8217;t grow in tables: harvesting journalistic insight from documents\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411\u6570\u636e\u65b0\u95fb\u7684\u6587\u672c\u6316\u6398.<\/p>\n<ul>\n<li><a href=\"http:\/\/grail.cs.washington.edu\/projects\/timelapse\/\">\u300aTime-lapse Mining from Internet Photos\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u7f51\u7edc\u56fe\u7247\u5408\u6210\u5ef6\u65f6\u89c6\u9891(SIGGRAPH 2015).<\/p>\n<ul>\n<li><a href=\"http:\/\/www.visiondummy.com\/2014\/04\/curse-dimensionality-affect-classification\/\">\u300aThe Curse of Dimensionality in classification\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5206\u7c7b\u7cfb\u7edf\u7684\u7ef4\u6570\u707e\u96be.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.computervisionblog.com\/2015\/05\/deep-learning-vs-big-data-who-owns-what.html\">\u300aDeep Learning vs Big Data: Who owns what?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60vs.\u5927\u6570\u636e\u2014\u2014\u4ece\u6570\u636e\u5230\u77e5\u8bc6\uff1a\u7248\u6743\u7684\u601d\u8003,[\u7ffb\u8bd1\u7248](<a href=\"http:\/\/www.csdn.net\/article\/2015-05-19\/2824707\">http:\/\/www.csdn.net\/article\/2015-05-19\/2824707<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.nature.com\/ctg\/journal\/v5\/n1\/abs\/ctg201319a.html\">\u300aA Primer on Predictive Models\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9884\u6d4b\u6a21\u578b\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.terminal.com\/demistifying-long-short-term-memory-lstm-recurrent-neural-networks\/\">\u300aDemistifying LSTM Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5165\u6d45\u51faLSTM.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PLhiWXaTdsWB8PnrVZquVyqlRFWXM4ijYz\">\u300aICLR 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:2015\u5e74ICLR\u4f1a\u8bae<a href=\"http:\/\/pan.baidu.com\/s\/1bnbbRyR\">\u89c6\u9891<\/a>\u4e0e<a href=\"http:\/\/www.iclr.cc\/doku.php?id=iclr2015:main\">\u8bb2\u4e49<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/dataremixed.com\/2015\/05\/on-visualizing-data-well\/\">\u300aOn Visualizing Data Well\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Ben Jones\u7684\u6570\u636e\u53ef\u89c6\u5316\u5efa\u8bae.<\/p>\n<ul>\n<li><a href=\"http:\/\/bigdata-madesimple.com\/decoding-dimensionality-reduction-pca-and-svd\/\">\u300aDecoding Dimensionality Reduction, PCA and SVD\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u89e3\u8bfb\u6570\u636e\u964d\u7ef4\/PCA\/SVD.<\/p>\n<ul>\n<li><a href=\"http:\/\/ryancompton.net\/assets\/ml_cheat_sheet\/supervised_learning.html\">\u300aSupervised learning superstitions cheat sheet\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:IPN:\u76d1\u7763\u5b66\u4e60\u65b9\u6cd5\u793a\u4f8b\/\u5bf9\u6bd4\u53c2\u8003\u8868,\u8986\u76d6logistic\u56de\u5f52, \u51b3\u7b56\u6811, SVM, KNN, Naive Bayes\u7b49\u65b9\u6cd5.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1505.04771\">\u300aDopeLearning: A Computational Approach to Rap Lyrics Generation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eRankSVM\u548cDNN\u81ea\u52a8(\u91cd\u7ec4)\u751f\u6210Rap\u6b4c\u8bcd.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.sics.se\/%7Emange\/papers\/RI_intro.pdf\">\u300aAn Introduction to Random Indexing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u968f\u673a\u7d22\u5f15RI\u8bcd\u7a7a\u95f4\u6a21\u578b\u4e13\u9898.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.vdiscover.org\/\">\u300aVDiscover\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u6f0f\u6d1e\u68c0\u6d4b\u5de5\u5177VDiscover.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/dmlc\/minerva\">\u300aMinerva\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edfminerva\u3002\u62e5\u6709python\u7f16\u7a0b\u63a5\u53e3\u3002\u591aGPU\u51e0\u4e4e\u8fbe\u5230\u7ebf\u6027\u52a0\u901f\u3002\u57284\u5757GPU\u4e0a\u80fd\u57284\u5929\u5185\u5c06GoogLeNet\u8bad\u7ec3\u5230 68.7%\u7684top-1\u4ee5\u53ca89.0%\u7684top-5\u51c6\u786e\u7387\u3002\u548c\u540c\u4e3admlc\u9879\u76ee\u7684cxxnet\u76f8\u6bd4\uff0c\u91c7\u7528\u52a8\u6001\u6570\u636e\u6d41\u5f15\u64ce\uff0c\u63d0\u4f9b\u66f4\u591a\u7075\u6d3b\u6027\u3002\u672a\u6765\u5c06\u548c cxxnet\u4e00\u8d77\u6574\u5408\u4e3amxnet\u9879\u76ee\uff0c\u4e92\u53d6\u4f18\u52bf.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cv-foundation.org\/openaccess\/CVPR2015.py\">\u300aCVPR 2015 paper\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:2015\u5e74\u56fd\u9645\u8ba1\u7b97\u673a\u89c6\u89c9\u4e0e\u6a21\u5f0f\u8bc6\u522b\u4f1a\u8baepaper.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.quora.com\/What-are-the-advantages-of-different-classification-algorithms\/answer\/Xavier-Amatriain\">\u300aWhat are the advantages of different classification algorithms?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Netflix\u5de5\u7a0b\u603b\u76d1\u773c\u4e2d\u7684\u5206\u7c7b\u7b97\u6cd5\uff1a\u6df1\u5ea6\u5b66\u4e60\u4f18\u5148\u7ea7\u6700\u4f4e,<a href=\"http:\/\/www.csdn.net\/article\/2015-05-24\/2824758\">\u4e2d\u6587\u7248<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.codalab.org\/competitions\/3221#results\">\u300aResults for Microsoft COCO Image Captioning Challenge\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Codalab\u56fe\u50cf\u6807\u6ce8\u7ade\u8d5b\u6392\u884c+\u5404\u5bb6\u8bba\u6587,Reddit\u4e0aflukeskywalker\u6574\u7406\u4e86\u5404\u5bb6\u6280\u672f<a href=\"http:\/\/www.reddit.com\/r\/MachineLearning\/comments\/376b28\/comparison_of_official_test_scores_of_current\/\">\u76f8\u5173\u8bba\u6587<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1504.04343\">\u300aCaffe con Troll: Shallow Ideas to Speed Up Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eCaffe\u7684\u52a0\u901f\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edfCcT.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1412.7024\">\u300aLow precision storage for deep learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60(\u6a21\u578b)\u4f4e\u7cbe\u5ea6(\u8bad\u7ec3\u4e0e)\u5b58\u50a8.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.mbmlbook.com\/index.html\">\u300aModel-Based Machine Learning (Early Access)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65b0\u4e66\u9884\u89c8:\u6a21\u578b\u673a\u5668\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.princeton.edu\/%7Esbubeck\/SurveyBCB12.pdf\">\u300aRegret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u7535\u5b50\u4e66\u591a\u81c2\u8001\u864e\u673a,\u6b64\u5916\u63a8\u8350<a href=\"https:\/\/sites.google.com\/site\/banditstutorial\/\">Introduction to Bandits: Algorithms and Theory<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.datacamp.com\/courses\/kaggle-tutorial-on-machine-learing-the-sinking-of-the-titanic\">\u300aKaggle R Tutorial on Machine Learing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eKaggle&#8217;s Titanic Competition\u7684\u4ea4\u4e92\u5f0fR\u673a\u5668\u5b66\u4e60\u6559\u7a0b,\u4ecb\u7ecd<a href=\"http:\/\/blog.kaggle.com\/2015\/05\/27\/interactive-r-tutorial-machine-learning-for-the-titanic-competition\/\">\u300aInteractive R Tutorial: Machine Learning for the Titanic Competition\u300b<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/suanfazu.com\/t\/deep-learning\/9401\">\u300aDeep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09\u5b66\u4e60\u7b14\u8bb0\u6574\u7406\u7cfb\u5217.<\/p>\n<ul>\n<li><a href=\"http:\/\/devblogs.nvidia.com\/parallelforall\/introduction-neural-machine-translation-with-gpus\/\">\u300aIntroduction to Neural Machine Translation with GPUs \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u795e\u7ecf(\u611f\u77e5)\u673a\u5668\u7ffb\u8bd1\u4ecb\u7ecd.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=n1ViNeWhC24&amp;hd=1\">\u300aAndrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Andrew Ng\u5173\u4e8e\u6df1\u5ea6\u5b66\u4e60\/\u81ea\u5b66\u4e60\/\u65e0\u76d1\u7763\u7279\u5f81\u5b66\u4e60\u7684\u62a5\u544a,<a href=\"http:\/\/pan.baidu.com\/s\/1jG8DUN8\">\u56fd\u5185\u4e91<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1505.04630\">\u300aRecurrent Neural Network Training with Dark Knowledge Transfer\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bba\u6587:\u901a\u8fc7\u6f5c\u5728\u77e5\u8bc6\u8fc1\u79fb\u8bad\u7ec3RNN.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/chrischris292\/ShowMeTheMoney\">\u300aShow Me The Money\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411\u91d1\u878d\u6570\u636e\u7684\u60c5\u611f\u5206\u6790\u5de5\u5177.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/bmabey\/pyLDAvis\">\u300apyLDAvis\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(Python)\u4e3b\u9898\u6a21\u578b\u4ea4\u4e92\u53ef\u89c6\u5316\u5e93pyLDAvis.<\/p>\n<ul>\n<li><a href=\"http:\/\/nbviewer.ipython.org\/github\/tfolkman\/learningwithdata\/blob\/master\/Logistic%20Gradient%20Descent.ipynb\">\u300aLogistic Regression and Gradient Descent\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Logistic\u56de\u5f52\u4e0e\u4f18\u5316\u5b9e\u4f8b\u6559\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/pan.baidu.com\/s\/1dDGVL53\">\u300a\u8d3e\u626c\u6e05\u5fae\u4fe1\u8bb2\u5ea7\u8bb0\u5f55\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8d3e\u626c\u6e05\uff08\u8c37\u6b4c\u5927\u8111\u79d1\u5b66\u5bb6\u3001caffe\u7f14\u9020\u8005\uff09\u5fae\u4fe1\u8bb2\u5ea7\u8bb0\u5f55.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/udibr\/sketch\">\u300asketch\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Theano\/Blocks\u5b9e\u73b0RNN\u624b\u5199\u5b57\u7b26\u4e32\u751f\u6210sketch.<\/p>\n<ul>\n<li><a href=\"http:\/\/chris.de-vries.id.au\/2015\/05\/web-scale-document-clustering.html\">\u300aWeb Scale Document Clustering: Clustering 733 Million Web Pages\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eTopSig\u7684\u6d77\u91cf(7\u4ebf+)\u7f51\u9875\u805a\u7c7b.<\/p>\n<ul>\n<li><a href=\"http:\/\/aclweb.org\/anthology\/N\/N15\/\">\u300aNAACL 2015 Proceedings on ACL Anthology\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NAACL 2015 \u8bba\u6587papers.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.anlytcs.com\/2015\/05\/stock-forecasting-with-machine-learning.html\">\u300aStock Forecasting With Machine Learning &#8211; Seven Possible Errors\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u9884\u6d4b\u80a1\u5e02\u7684\u4e03\u4e2a\u95ee\u9898.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.reddit.com\/r\/MachineLearning\/comments\/378but\/are_there_any_good_resources_for_learning_about\/\">\u300aAre there any good resources for learning about neural networks?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u795e\u7ecf\u7f51\u7edc\u5b66\u4e60\u8d44\u6599\u63a8\u8350.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1506.00019v1\">\u300aA Critical Review of Recurrent Neural Networks for Sequence Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411\u5e8f\u5217\u5b66\u4e60\u7684RNN\u7efc\u8ff0.<\/p>\n<ul>\n<li><a href=\"http:\/\/gastonsanchez.com\/Handling_and_Processing_Strings_in_R.pdf\">\u300aHandling and Processing Strings in R\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R\u6587\u672c\u5904\u7406\u624b\u518c.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/s16h\/py-must-watch\">\u300aMust-watch videos about Python\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u201c\u5fc5\u770b\u201d\u7684Python\u89c6\u9891\u96c6\u9526.<\/p>\n<ul>\n<li><a href=\"http:\/\/malteschwarzkopf.de\/research\/assets\/google-stack.pdf\">\u300aThe Google Stack\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Google(\u57fa\u7840\u7ed3\u6784)\u6808.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs.stanford.edu\/people\/mmahoney\/f13-stat260-cs294\/\">\u300aRandomized Algorithms for Matrices and Data\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u77e9\u9635\u548c\u6570\u636e\u7684\u968f\u673a\u7b97\u6cd5(UC Berkeley 2013).<\/p>\n<ul>\n<li><a href=\"https:\/\/www.datacamp.com\/courses\/intermediate-r\">\u300aIntermediate R\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:DataCamp\u4e2d\u7ea7R\u8bed\u8a00\u6559\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.topologywithouttears.net\/\">\u300aTopology Without Tears\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u7535\u5b50\u4e66:\u8f7b\u677e\u638c\u63e1\u62d3\u6251\u5b66,<a href=\"http:\/\/www.topologywithouttears.net\/topbookchinese.pdf\">\u4e2d\u6587\u7248<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.inference.phy.cam.ac.uk\/itprnn_lectures\/\">\u300aInformation Theory, Pattern Recognition, and Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/www.inference.phy.cam.ac.uk\/itprnn\/book.pdf\">Book<\/a>,<a href=\"https:\/\/www.youtube.com\/user\/jakobfoerster\/videos\">video<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/scikit-learn\/scikit-learn\">\u300aScikit-learn\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Scikit-learn \u662f\u57fa\u4e8eScipy\u4e3a\u673a\u5668\u5b66\u4e60\u5efa\u9020\u7684\u7684\u4e00\u4e2aPython\u6a21\u5757\uff0c\u4ed6\u7684\u7279\u8272\u5c31\u662f\u591a\u6837\u5316\u7684\u5206\u7c7b\uff0c\u56de\u5f52\u548c\u805a\u7c7b\u7684\u7b97\u6cd5\u5305\u62ec\u652f\u6301\u5411\u91cf\u673a\uff0c\u903b\u8f91\u56de\u5f52\uff0c\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\uff0c\u968f \u673a\u68ee\u6797\uff0cGradient Boosting\uff0c\u805a\u7c7b\u7b97\u6cd5\u548cDBSCAN\u3002\u800c\u4e14\u4e5f\u8bbe\u8ba1\u51fa\u4e86Python numerical\u548cscientific libraries Numpy and Scipy<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/lisa-lab\/pylearn2\">\u300aPylearn2\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Pylearn\u662f\u4e00\u4e2a\u8ba9\u673a\u5668\u5b66\u4e60\u7814\u7a76\u7b80\u5355\u5316\u7684\u57fa\u4e8eTheano\u7684\u5e93\u7a0b\u5e8f\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/numenta\/nupic\">\u300aNuPIC\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NuPIC\u662f\u4e00\u4e2a\u4ee5HTM\u5b66\u4e60\u7b97\u6cd5\u4e3a\u5de5\u5177\u7684\u673a\u5668\u667a\u80fd\u5e73\u53f0\u3002HTM\u662f\u76ae\u5c42\u7684\u7cbe\u786e\u8ba1\u7b97\u65b9\u6cd5\u3002HTM\u7684\u6838\u5fc3\u662f\u57fa\u4e8e\u65f6\u95f4\u7684\u6301\u7eed\u5b66\u4e60\u7b97\u6cd5\u548c\u50a8\u5b58\u548c\u64a4\u9500\u7684\u65f6\u7a7a\u6a21\u5f0f\u3002NuPIC\u9002\u5408\u4e8e\u5404\u79cd\u5404\u6837\u7684\u95ee\u9898,\u5c24\u5176\u662f\u68c0\u6d4b\u5f02\u5e38\u548c\u9884\u6d4b\u7684\u6d41\u6570\u636e\u6765\u6e90\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/nilearn\/nilearn\">\u300aNilearn\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Nilearn \u662f\u4e00\u4e2a\u80fd\u591f\u5feb\u901f\u7edf\u8ba1\u5b66\u4e60\u795e\u7ecf\u5f71\u50cf\u6570\u636e\u7684Python\u6a21\u5757\u3002\u5b83\u5229\u7528Python\u8bed\u8a00\u4e2d\u7684scikit-learn \u5de5\u5177\u7bb1\u548c\u4e00\u4e9b\u8fdb\u884c\u9884\u6d4b\u5efa\u6a21\uff0c\u5206\u7c7b\uff0c\u89e3\u7801\uff0c\u8fde\u901a\u6027\u5206\u6790\u7684\u5e94\u7528\u7a0b\u5e8f\u6765\u8fdb\u884c\u591a\u5143\u7684\u7edf\u8ba1\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/pybrain\/pybrain\">\u300aPyBrain\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Pybrain\u662f\u57fa\u4e8ePython\u8bed\u8a00\u5f3a\u5316\u5b66\u4e60\uff0c\u4eba\u5de5\u667a\u80fd\uff0c\u795e\u7ecf\u7f51\u7edc\u5e93\u7684\u7b80\u79f0\u3002 \u5b83\u7684\u76ee\u6807\u662f\u63d0\u4f9b\u7075\u6d3b\u3001\u5bb9\u6613\u4f7f\u7528\u5e76\u4e14\u5f3a\u5927\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u8fdb\u884c\u5404\u79cd\u5404\u6837\u7684\u9884\u5b9a\u4e49\u7684\u73af\u5883\u4e2d\u6d4b\u8bd5\u6765\u6bd4\u8f83\u4f60\u7684\u7b97\u6cd5\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/clips\/pattern\">\u300aPattern\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Pattern \u662fPython\u8bed\u8a00\u4e0b\u7684\u4e00\u4e2a\u7f51\u7edc\u6316\u6398\u6a21\u5757\u3002\u5b83\u4e3a\u6570\u636e\u6316\u6398\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0c\u7f51\u7edc\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u63d0\u4f9b\u5de5\u5177\u3002\u5b83\u652f\u6301\u5411\u91cf\u7a7a\u95f4\u6a21\u578b\u3001\u805a\u7c7b\u3001\u652f\u6301\u5411\u91cf\u673a\u548c\u611f\u77e5\u673a\u5e76\u4e14\u7528KNN\u5206\u7c7b\u6cd5\u8fdb\u884c\u5206\u7c7b\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/mila-udem\/fuel\">\u300aFuel\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Fuel\u4e3a\u4f60\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u63d0\u4f9b\u6570\u636e\u3002\u4ed6\u6709\u4e00\u4e2a\u5171\u4eab\u5982MNIST, CIFAR-10 (\u56fe\u7247\u6570\u636e\u96c6), Google\u2019s One Billion Words (\u6587\u5b57)\u8fd9\u7c7b\u6570\u636e\u96c6\u7684\u63a5\u53e3\u3002\u4f60\u4f7f\u7528\u4ed6\u6765\u901a\u8fc7\u5f88\u591a\u79cd\u7684\u65b9\u5f0f\u6765\u66ff\u4ee3\u81ea\u5df1\u7684\u6570\u636e\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/idiap\/bob\">\u300aBob\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Bob\u662f\u4e00\u4e2a\u514d\u8d39\u7684\u4fe1\u53f7\u5904\u7406\u548c\u673a\u5668\u5b66\u4e60\u7684\u5de5\u5177\u3002\u5b83\u7684\u5de5\u5177\u7bb1\u662f\u7528Python\u548cC++\u8bed\u8a00\u5171\u540c\u7f16\u5199\u7684\uff0c\u5b83\u7684\u8bbe\u8ba1\u76ee\u7684\u662f\u53d8\u5f97\u66f4\u52a0\u9ad8\u6548\u5e76\u4e14\u51cf\u5c11\u5f00\u53d1\u65f6\u95f4\uff0c\u5b83\u662f\u7531\u5904\u7406\u56fe\u50cf\u5de5\u5177,\u97f3\u9891\u548c\u89c6\u9891\u5904\u7406\u3001\u673a\u5668\u5b66\u4e60\u548c\u6a21\u5f0f\u8bc6\u522b\u7684\u5927\u91cf\u8f6f\u4ef6\u5305\u6784\u6210\u7684\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/jaberg\/skdata\">\u300aSkdata\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Skdata\u662f\u673a\u5668\u5b66\u4e60\u548c\u7edf\u8ba1\u7684\u6570\u636e\u96c6\u7684\u5e93\u7a0b\u5e8f\u3002\u8fd9\u4e2a\u6a21\u5757\u5bf9\u4e8e\u73a9\u5177\u95ee\u9898\uff0c\u6d41\u884c\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u81ea\u7136\u8bed\u8a00\u7684\u6570\u636e\u96c6\u63d0\u4f9b\u6807\u51c6\u7684Python\u8bed\u8a00\u7684\u4f7f\u7528\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/luispedro\/milk\">\u300aMILK\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:MILK\u662fPython\u8bed\u8a00\u4e0b\u7684\u673a\u5668\u5b66\u4e60\u5de5\u5177\u5305\u3002\u5b83\u4e3b\u8981\u662f\u5728\u5f88\u591a\u53ef\u5f97\u5230\u7684\u5206\u7c7b\u6bd4\u5982SVMS,K-NN,\u968f\u673a\u68ee\u6797\uff0c\u51b3\u7b56\u6811\u4e2d\u4f7f\u7528\u76d1\u7763\u5206\u7c7b\u6cd5\u3002 \u5b83\u8fd8\u6267\u884c\u7279\u5f81\u9009\u62e9\u3002 \u8fd9\u4e9b\u5206\u7c7b\u5668\u5728\u8bb8\u591a\u65b9\u9762\u76f8\u7ed3\u5408,\u53ef\u4ee5\u5f62\u6210\u4e0d\u540c\u7684\u4f8b\u5982\u65e0\u76d1\u7763\u5b66\u4e60\u3001\u5bc6\u5207\u5173\u7cfb\u91d1\u4f20\u64ad\u548c\u7531MILK\u652f\u6301\u7684K-means\u805a\u7c7b\u7b49\u5206\u7c7b\u7cfb\u7edf\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/machinalis\/iepy\">\u300aIEPY\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:IEPY\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u5173\u7cfb\u62bd\u53d6\u7684\u5f00\u6e90\u6027\u4fe1\u606f\u62bd\u53d6\u5de5\u5177\u3002\u5b83\u4e3b\u8981\u9488\u5bf9\u7684\u662f\u9700\u8981\u5bf9\u5927\u578b\u6570\u636e\u96c6\u8fdb\u884c\u4fe1\u606f\u63d0\u53d6\u7684\u7528\u6237\u548c\u60f3\u8981\u5c1d\u8bd5\u65b0\u7684\u7b97\u6cd5\u7684\u79d1\u5b66\u5bb6\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/machinalis\/quepy\">\u300aQuepy\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Quepy\u662f\u901a\u8fc7\u6539\u53d8\u81ea\u7136\u8bed\u8a00\u95ee\u9898\u4ece\u800c\u5728\u6570\u636e\u5e93\u67e5\u8be2\u8bed\u8a00\u4e2d\u8fdb\u884c\u67e5\u8be2\u7684\u4e00\u4e2aPython\u6846\u67b6\u3002\u4ed6\u53ef\u4ee5\u7b80\u5355\u7684\u88ab\u5b9a\u4e49\u4e3a\u5728\u81ea\u7136\u8bed\u8a00\u548c\u6570\u636e\u5e93\u67e5\u8be2\u4e2d\u4e0d \u540c\u7c7b\u578b\u7684\u95ee\u9898\u3002\u6240\u4ee5\uff0c\u4f60\u4e0d\u7528\u7f16\u7801\u5c31\u53ef\u4ee5\u5efa\u7acb\u4f60\u81ea\u5df1\u7684\u4e00\u4e2a\u7528\u81ea\u7136\u8bed\u8a00\u8fdb\u5165\u4f60\u7684\u6570\u636e\u5e93\u7684\u7cfb\u7edf\u3002\u73b0\u5728Quepy\u63d0\u4f9b\u5bf9\u4e8eSparql\u548cMQL\u67e5\u8be2\u8bed\u8a00\u7684\u652f\u6301\u3002\u5e76 \u4e14\u8ba1\u5212\u5c06\u5b83\u5ef6\u4f38\u5230\u5176\u4ed6\u7684\u6570\u636e\u5e93\u67e5\u8be2\u8bed\u8a00\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/hannes-brt\/hebel\">\u300aHebel\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Hebel\u662f\u5728Python\u8bed\u8a00\u4e2d\u5bf9\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u6df1\u5ea6\u5b66\u4e60\u7684\u4e00\u4e2a\u5e93\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528\u7684\u662f\u901a\u8fc7PyCUDA\u6765\u8fdb\u884cGPU\u548cCUDA\u7684\u52a0\u901f\u3002\u5b83\u662f\u6700\u91cd\u8981\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u7c7b\u578b\u7684\u5de5\u5177\u800c\u4e14\u80fd\u63d0\u4f9b\u4e00\u4e9b\u4e0d\u540c\u7684\u6d3b\u52a8\u51fd\u6570\u7684\u6fc0\u6d3b\u529f\u80fd\uff0c\u4f8b\u5982\u52a8\u529b\uff0c\u6d85\u65af\u6377\u7f57\u592b\u52a8\u529b\uff0c\u4fe1\u53f7\u4e22\u5931\u548c\u505c\u6b62\u6cd5\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/rasbt\/mlxtend\">\u300amlxtend\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5b83\u662f\u4e00\u4e2a\u7531\u6709\u7528\u7684\u5de5\u5177\u548c\u65e5\u5e38\u6570\u636e\u79d1\u5b66\u4efb\u52a1\u7684\u6269\u5c55\u7ec4\u6210\u7684\u4e00\u4e2a\u5e93\u7a0b\u5e8f\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/dnouri\/nolearn\">\u300anolearn\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u4e2a\u7a0b\u5e8f\u5305\u5bb9\u7eb3\u4e86\u5927\u91cf\u80fd\u5bf9\u4f60\u5b8c\u6210\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u6709\u5e2e\u52a9\u7684\u5b9e\u7528\u7a0b\u5e8f\u6a21\u5757\u3002\u5176\u4e2d\u5927\u91cf\u7684\u6a21\u5757\u548cscikit-learn\u4e00\u8d77\u5de5\u4f5c\uff0c\u5176\u5b83\u7684\u901a\u5e38\u66f4\u6709\u7528\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/kvh\/ramp\">\u300aRamp\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Ramp\u662f\u4e00\u4e2a\u5728Python\u8bed\u8a00\u4e0b\u5236\u5b9a\u673a\u5668\u5b66\u4e60\u4e2d\u52a0\u5feb\u539f\u578b\u8bbe\u8ba1\u7684\u89e3\u51b3\u65b9\u6848\u7684\u5e93\u7a0b\u5e8f\u3002\u4ed6\u662f\u4e00\u4e2a\u8f7b\u578b\u7684pandas-based\u673a\u5668\u5b66\u4e60\u4e2d\u53ef\u63d2 \u5165\u7684\u6846\u67b6\uff0c\u5b83\u73b0\u5b58\u7684Python\u8bed\u8a00\u4e0b\u7684\u673a\u5668\u5b66\u4e60\u548c\u7edf\u8ba1\u5de5\u5177\uff08\u6bd4\u5982scikit-learn,rpy2\u7b49\uff09Ramp\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u58f0\u660e\u6027\u8bed\u6cd5\u63a2\u7d22\u529f\u80fd\u4ece \u800c\u80fd\u591f\u5feb\u901f\u6709\u6548\u5730\u5b9e\u65bd\u7b97\u6cd5\u548c\u8f6c\u6362\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/machinalis\/featureforge\">\u300aFeature Forge\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u4e00\u7cfb\u5217\u5de5\u5177\u901a\u8fc7\u4e0escikit-learn\u517c\u5bb9\u7684API\uff0c\u6765\u521b\u5efa\u548c\u6d4b\u8bd5\u673a\u5668\u5b66\u4e60\u529f\u80fd\u3002\u8fd9\u4e2a\u5e93\u7a0b\u5e8f\u63d0\u4f9b\u4e86\u4e00\u7ec4\u5de5\u5177\uff0c\u5b83\u4f1a\u8ba9\u4f60\u5728\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u7a0b \u5e8f\u4f7f\u7528\u4e2d\u5f88\u53d7\u7528\u3002\u5f53\u4f60\u4f7f\u7528scikit-learn\u8fd9\u4e2a\u5de5\u5177\u65f6\uff0c\u4f60\u4f1a\u611f\u89c9\u5230\u53d7\u5230\u4e86\u5f88\u5927\u7684\u5e2e\u52a9\u3002\uff08\u867d\u7136\u8fd9\u53ea\u80fd\u5728\u4f60\u6709\u4e0d\u540c\u7684\u7b97\u6cd5\u65f6\u8d77\u4f5c\u7528\u3002\uff09<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/yandex\/rep\">\u300aREP\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:REP\u662f\u4ee5\u4e00\u79cd\u548c\u8c10\u3001\u53ef\u518d\u751f\u7684\u65b9\u5f0f\u4e3a\u6307\u6325\u6570\u636e\u79fb\u52a8\u9a71\u52a8\u6240\u63d0\u4f9b\u7684\u4e00\u79cd\u73af\u5883\u3002\u5b83\u6709\u4e00\u4e2a\u7edf\u4e00\u7684\u5206\u7c7b\u5668\u5305\u88c5\u6765\u63d0\u4f9b\u5404\u79cd\u5404\u6837\u7684\u64cd\u4f5c\uff0c\u4f8b\u5982TMVA, Sklearn, XGBoost, uBoost\u7b49\u7b49\u3002\u5e76\u4e14\u5b83\u53ef\u4ee5\u5728\u4e00\u4e2a\u7fa4\u4f53\u4ee5\u5e73\u884c\u7684\u65b9\u5f0f\u8bad\u7ec3\u5206\u7c7b\u5668\u3002\u540c\u65f6\u5b83\u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7684\u60c5\u8282\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/awslabs\/machine-learning-samples\">\u300aPython \u5b66\u4e60\u673a\u5668\u6837\u54c1\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528\u4e9a\u9a6c\u900a\u7684\u673a\u5668\u5b66\u4e60\u5efa\u9020\u7684\u7b80\u5355\u8f6f\u4ef6\u6536\u96c6\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/www.github.com\/dclambert\/Python-ELM\">\u300aPython-ELM\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u4e2a\u5728Python\u8bed\u8a00\u4e0b\u57fa\u4e8escikit-learn\u7684\u6781\u7aef\u5b66\u4e60\u673a\u5668\u7684\u5b9e\u73b0\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/forum.memect.com\/thread\/dimension-reduction\/\">\u300aDimension Reduction\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7535\u5b50\u4e66\u964d\u7ef4\u65b9\u6cd5,\u6b64\u5916\u8fd8\u63a8\u8350<a href=\"http:\/\/www.stat.washington.edu\/courses\/stat539\/spring14\/Resources\/tutorial_nonlin-dim-red.pdf\">Dimensionality Reduction A Short Tutorial<\/a>\u3001<a href=\"http:\/\/lvdmaaten.github.io\/drtoolbox\/\">Matlab Toolbox for Dimensionality Reduction<\/a>\u3001<a href=\"http:\/\/www.cs.berkeley.edu\/%7Ejordan\/papers\/wang-sha-jordan-nips11.pdf\">Unsupervised Kernel Dimension Reduction<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning.net\/datasets\/\">\u300aDatasets Used For Benchmarking Deep Learning Algorithms\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:deeplearning.net\u6574\u7406\u7684\u6df1\u5ea6\u5b66\u4e60\u6570\u636e\u96c6\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/advancedlogic\/go-freeling\">\u300aGolang Natural Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Go\u8bed\u8a00\u7f16\u5199\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5de5\u5177.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1412.4930\">\u300aRehabilitation of Count-based Models for Word Vector Representations\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bcd\u9891\u6a21\u578b\u5bf9\u8bcd\u5411\u91cf\u7684\u53cd\u51fb,\u53c2\u8003<a href=\"https:\/\/levyomer.files.wordpress.com\/2015\/03\/improving-distributional-similarity-tacl-2015.pdf\">Improving Distributional Similarity with Lessons Learned from Word Embeddings <\/a>\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/static1.squarespace.com\/static\/51156277e4b0b8b2ffe11c00\/t\/55344152e4b0ff30bb9ec163\/1429487954122\/ASA_Kuhn.pdf\">\u300aThree Aspects of Predictive Modeling\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9884\u6d4b\u6a21\u578b\u7684\u4e09\u4e2a\u65b9\u9762.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs224d.stanford.edu\/\">\u300aCS224d: Deep Learning for Natural Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65af\u5766\u798f\u5927\u5b66\u6df1\u5ea6\u5b66\u4e60\u4e0e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u8bfe\u7a0b,\u90e8\u5206\u8bfe\u7a0b\u7b14\u8bb0<a href=\"http:\/\/www.52nlp.cn\/%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B8%8E%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E7%AC%AC%E4%BA%8C%E8%AE%B2%E8%AF%8D%E5%90%91%E9%87%8F\">\u8bcd\u5411\u91cf<\/a>\u3001<a href=\"http:\/\/www.52nlp.cn\/%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B8%8E%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E7%AC%AC%E4%B8%80%E8%AE%B2%E5%BC%95%E8%A8%80\">\u5f15\u8a00<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/googleresearch.blogspot.jp\/2015\/06\/google-computer-vision-research-at-cvpr.html\">\u300aGoogle Computer Vision research at CVPR 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:CVPR2015\u4e0aGoogle\u7684CV\u7814\u7a76\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/public.hudl.com\/bits\/archives\/2015\/06\/05\/highlights\/\">\u300aUsing Deep Learning to Find Basketball Highlights\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5229\u7528(Metamind)\u6df1\u5ea6\u5b66\u4e60\u81ea\u52a8\u53d1\u73b0\u7bee\u7403\u8d5b\u7cbe\u5f69\u7247\u6bb5.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1512.04150\">\u300aLearning Deep Features for Discriminative Localization\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5bf9\u672c\u571f\u5316\u7279\u5f81\u5b66\u4e60\u7684\u5206\u6790<\/p>\n","protected":false},"excerpt":{"rendered":"<p>by ty4z2008 (\u5ed6\u541b) Source: https:\/\/github.com\/ty4z2008\/Qi &hellip; <a href=\"http:\/\/blog.softwareclues.com\/zh\/%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0machine-learning%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0deep-learning%e8%b5%84%e6%96%99chapter-1\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u201c\u673a\u5668\u5b66\u4e60(Machine Learning)&#038;\u6df1\u5ea6\u5b66\u4e60(Deep Learning)\u8d44\u6599(Chapter 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