{"id":285,"date":"2016-05-07T21:56:45","date_gmt":"2016-05-07T21:56:45","guid":{"rendered":"http:\/\/blogs.softwareclue.com\/?p=285"},"modified":"2016-05-07T21:56:45","modified_gmt":"2016-05-07T21:56:45","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-2","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-2","title":{"rendered":"\u673a\u5668\u5b66\u4e60(Machine Learning)&#038;\u6df1\u5ea6\u5b66\u4e60(Deep Learning)\u8d44\u6599(Chapter 2)"},"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\/dl2.md\" target=\"_blank\">https:\/\/github.com\/ty4z2008\/Qix\/blob\/master\/dl2.md<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/engineering.flipboard.com\/2015\/05\/scaling-convnets\/\">\u300aImage Scaling using Deep Convolutional Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f7f\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u56fe\u50cf\u7f29\u653e.<\/p>\n<ul>\n<li><a href=\"http:\/\/jmlr.org\/proceedings\/papers\/v37\/\">\u300aProceedings of The 32nd International Conference on Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:ICML2015 \u8bba\u6587\u96c6,\u4f18\u53164\u4e2a+\u7a00\u758f\u4f18\u53161\u4e2a\uff1b\u5f3a\u5316\u5b66\u4e604\u4e2a\uff0c\u6df1\u5ea6\u5b66\u4e603\u4e2a+\u6df1\u5ea6\u5b66\u4e60\u8ba1\u7b971\u4e2a\uff1b\u8d1d\u53f6\u65af\u975e\u53c2\u3001\u9ad8\u65af\u8fc7\u7a0b\u548c\u5b66\u4e60\u7406\u8bba3\u4e2a\uff1b\u8fd8\u6709\u8ba1\u7b97\u5e7f\u544a\u548c\u793e\u4f1a\u9009\u62e9.<a href=\"http:\/\/icml.cc\/2015\/?page_id=825\">ICML2015 Sessions<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/engineering.flipboard.com\/2015\/05\/scaling-convnets\/\">\u300aImage Scaling using Deep Convolutional Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f7f\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u56fe\u50cf\u7f29\u653e.<\/p>\n<ul>\n<li><a href=\"http:\/\/blogs.technet.com\/b\/inside_microsoft_research\/archive\/2015\/06\/08\/microsoft-researchers-accelerate-computer-vision-accuracy-and-improve-3d-scanning-models.aspx\">\u300aMicrosoft researchers accelerate computer vision accuracy and improve 3D scanning models\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\uff0c\u7b2c28\u5c4aIEEE\u8ba1\u7b97\u673a\u89c6\u89c9\u4e0e\u6a21\u5f0f\u8bc6\u522b(CVPR)\u5927\u4f1a\u5728\u7f8e\u56fd\u6ce2\u58eb\u987f\u4e3e\u884c\u3002\u5fae\u8f6f\u7814\u7a76\u5458\u4eec\u5728\u5927\u4f1a\u4e0a\u5c55\u793a\u4e86\u6bd4\u4ee5\u5f80\u66f4\u5feb\u66f4\u51c6\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u56fe\u50cf\u5206\u7c7b\u65b0\u6a21\u578b\uff0c\u5e76\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Kinect\u7b49\u4f20\u611f\u5668\u5b9e\u73b0\u5728\u52a8\u6001\u6216\u4f4e\u5149\u73af\u5883\u7684\u5feb\u901f\u5927\u89c4\u6a213D\u626b\u63cf\u6280\u672f.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/marcotcr\/mlforhumans\">\u300aMachine Learning for Humans\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(\u6587\u672c)\u673a\u5668\u5b66\u4e60\u53ef\u89c6\u5316\u5206\u6790\u5de5\u5177.<\/p>\n<ul>\n<li><a href=\"http:\/\/knowm.org\/machine-learning-tools-an-overview\/\">\u300aA Plethora of Tools for Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5de5\u5177\u5305\/\u5e93\u7684\u7efc\u8ff0\/\u6bd4\u8f83.<\/p>\n<ul>\n<li><a href=\"http:\/\/sapblog.be\/en\/the-art-of-visualizing-visualizations-a-best-practice-guide\/\">\u300aThe art of visualizing visualizations: a best practice guide\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u53ef\u89c6\u5316\u6700\u4f73\u5b9e\u8df5\u6307\u5357.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.adnanmasood.com\/2015\/06\/08\/mit-machine-learning-for-big-data-and-text-processing-class-notes-day-1\/\">\u300aMIT Machine Learning for Big Data and Text Processing Class Notes &#8211; Day 1\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/blog.adnanmasood.com\/2015\/06\/08\/mit-machine-learning-for-big-data-and-text-processing-class-notes-day-1\/\">Day 1<\/a>\u3001<a href=\"http:\/\/blog.adnanmasood.com\/2015\/06\/09\/mit-machine-learning-for-big-data-and-text-processing-class-notes-day-2\/\">Day 2<\/a>\u3001<a href=\"http:\/\/blog.adnanmasood.com\/2015\/06\/11\/mit-machine-learning-for-big-data-and-text-processing-class-notes-day-3\/\">Day 3<\/a>\u3001<a href=\"http:\/\/blog.adnanmasood.com\/2015\/06\/12\/mit-machine-learning-for-big-data-and-text-processing-class-notes-day-4\/\">Day 4<\/a>\u3001<a href=\"http:\/\/blog.adnanmasood.com\/2015\/06\/12\/mit-machine-learning-for-big-data-and-text-processing-class-notes-day-5\/\">Day 5<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/whatsnext.nuance.com\/in-the-labs\/what-is-deep-machine-learning\/\">\u300aGetting \u201cdeep\u201d about \u201cdeep learning\u201d\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u4e4b\u201c\u6df1\u201d\u2014\u2014DNN\u7684\u9690\u55bb\u5206\u6790.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.otoro.net\/2015\/06\/14\/mixture-density-networks\/\">\u300aMixture Density Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df7\u5408\u5bc6\u5ea6\u7f51\u7edc.<\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/@D33B\/interview-questions-for-data-scientist-positions-5ad3c5d5b8bd\">\u300aInterview Questions for Data Scientist Positions\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u79d1\u5b66\u5bb6\u804c\u4f4d\u9762\u8bd5\u9898.<\/p>\n<ul>\n<li><a href=\"http:\/\/scott.fortmann-roe.com\/docs\/MeasuringError.html\">\u300aAccurately Measuring Model Prediction Error\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u51c6\u786e\u8bc4\u4f30\u6a21\u578b\u9884\u6d4b\u8bef\u5dee.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/donnemartin\/data-science-ipython-notebooks\">\u300aContinually updated Data Science Python Notebooks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Continually updated Data Science Python Notebooks.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/jtleek\/datasharing\">\u300aHow to share data with a statistician\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:How to share data with a statistician.<\/p>\n<ul>\n<li><a href=\"http:\/\/soumith.ch\/eyescream\/\">\u300aThe Eyescream Project NeuralNets dreaming natural images\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81eaFacebook\u7684\u56fe\u50cf\u81ea\u52a8\u751f\u6210.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/jtleek\/datasharing\">\u300aHow to share data with a statistician\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:How to share data with a statistician.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1506.05869\">\u300aA Neural Conversational Model\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(Google)\u795e\u7ecf(\u611f\u77e5)\u4f1a\u8bdd\u6a21\u578b.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.datasciencecentral.com\/profiles\/blogs\/the-50-best-masters-in-data-science\">\u300aThe 50 Best Masters in Data Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:The 50 Best Masters in Data Science.<\/p>\n<ul>\n<li><a href=\"http:\/\/forum.memect.com\/thread\/nlp%E5%B8%B8%E7%94%A8%E4%BF%A1%E6%81%AF%E8%B5%84%E6%BA%90\/\">\u300aNLP\u5e38\u7528\u4fe1\u606f\u8d44\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NLP\u5e38\u7528\u4fe1\u606f\u8d44\u6e90.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.robots.ox.ac.uk\/%7Eszheng\/papers\/CRFasRNN.pdf\">\u300aConditional Random Fields as Recurrent Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bed\u4e49\u56fe\u50cf\u5206\u5272\u7684\u5b9e\u51b5<a href=\"http:\/\/www.robots.ox.ac.uk\/%7Eszheng\/crfasrnndemo\">\u6f14\u793a<\/a>,\u901a\u8fc7\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u548c\u6982\u7387\u56fe\u6a21\u578b\u7684\u8bed\u4e49\u56fe\u50cf\u5206\u5272.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.berkeley.edu\/%7Ejonlong\/long_shelhamer_fcn.pdf\">\u300aFully Convolutional Networks for Semantic Segmentation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Caffe\u6a21\u578b\/\u4ee3\u7801:\u9762\u5411\u56fe\u50cf\u8bed\u4e49\u5206\u5272\u7684\u5168\u5377\u79ef\u7f51\u7edc,<a href=\"https:\/\/github.com\/BVLC\/caffe\/wiki\/Model-Zoo#fcn\">\u6a21\u578b\u4ee3\u7801<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/cacm.acm.org\/news\/188737-growing-pains-for-deep-learning\/fulltext\">\u300aGrowing Pains for Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u2014\u2014\u6210\u957f\u7684\u70e6\u607c.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1877050914005274\">\u300aClustering Text Data Streams \u2013 A Tree based Approach with Ternary Function and Ternary Feature Vector \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8e\u4e09\u5143\u6811\u65b9\u6cd5\u7684\u6587\u672c\u6d41\u805a\u7c7b.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs.ucla.edu\/%7Ewwc\/course\/cs245a\/mining%20book.pdf\">\u300aFoundations and Advances in Data Mining\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Free Ebook:\u6570\u636e\u6316\u6398\u57fa\u7840\u53ca\u6700\u65b0\u8fdb\u5c55.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.infoq.com\/presentations\/deep-learning\">\u300aThe Deep Learning Revolution: Rethinking Machine Learning Pipelines\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u9769\u547d.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.datalook.io\/definitive-guide-data-science-good\/\">\u300aThe Definitive Guide to Do Data Science for Good\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u79d1\u5b66(\u5b9e\u8df5)\u6743\u5a01\u6307\u5357.<\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/en-us\/projects\/mag\/\">\u300aMicrosoft Academic Graph\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:37G\u7684\u5fae\u8f6f\u5b66\u672f\u56fe\u8c31\u6570\u636e\u96c6.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=UEwDwTkWwdc&amp;hd=1\">\u300aChallenges and Opportunities Of Machine Learning In Production\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u751f\u4ea7\u73af\u5883(\u4ea7\u54c1\u7ea7)\u673a\u5668\u5b66\u4e60\u7684\u673a\u9047\u4e0e\u6311\u6218.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=Cu6A96TUy_o\">\u300aNeural Nets for Newbies\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u795e\u7ecf\u7f51\u7edc\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/jmlr.org\/proceedings\/papers\/v37\/hegde15.pdf\">\u300aA Nearly-Linear Time Framework for Graph-Structured Sparsity\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81ea\u9ebb\u7701\u7406\u5de5\u7684\u7ed3\u6784\u5316\u7a00\u758f\u8bba\u6587.<\/p>\n<ul>\n<li><a href=\"http:\/\/jmlr.org\/proceedings\/papers\/v37\/beygelzimer15.pdf\">\u300aOptimal and Adaptive Algorithms for Online Boosting\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81ea\u96c5\u864e\u7684\u673a\u5668\u5b66\u4e60\u5c0f\u7ec4\u5173\u4e8e\u5728\u7ebfBoosting\u7684\u8bba\u6587 .<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdnuggets.com\/2015\/06\/top-20-python-machine-learning-open-source-projects.html\">\u300aTop 20 Python Machine Learning Open Source Projects\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:20\u4e2a\u6700\u70ed\u95e8\u7684\u5f00\u6e90(Python)\u673a\u5668\u5b66\u4e60\u9879\u76ee.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1507.00398\">\u300aThe Parallel C++ Statistical Library for Bayesian Inference: QUESO\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:C++\u5e76\u884c\u8d1d\u53f6\u65af\u63a8\u7406\u7edf\u8ba1\u5e93QUESO,<a href=\"http:\/\/libqueso.com\/\">github code<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.nature.com\/nature\/journal\/v521\/n7553\/full\/nature14539.html\">\u300a\u300aDeep learning\u300bYann LeCun, Yoshua Bengio, Geoffrey Hinton (2015) \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Nature:LeCun\/Bengio\/Hinton\u7684\u6700\u65b0\u6587\u7ae0\u300a\u6df1\u5ea6\u5b66\u4e60\u300b,J\u00fcrgen Schmidhuber\u7684\u6700\u65b0\u8bc4\u8bba\u6587\u7ae0<a href=\"http:\/\/people.idsia.ch\/%7Ejuergen\/deep-learning-conspiracy.html\">\u300aCritique of Paper by &#8220;Deep Learning Conspiracy&#8221; (Nature 521 p 436)\u300b<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ottogroup\/palladium\">\u300aPalladium\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eScikit-Learn\u7684\u9884\u6d4b\u5206\u6790\u670d\u52a1\u6846\u67b6Palladium.<\/p>\n<ul>\n<li><a href=\"http:\/\/hunch.net\/%7El2s\/merged.pdf\">\u300aAdvances in Structured Prediction\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:John Langford\u548cHal Daume III\u5728ICML2015\u4e0a\u5173\u4e8eLearning to Search\u7684\u6559\u5b66\u8bb2\u5ea7\u5e7b\u706f\u7247.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.linkedin.com\/pulse\/100-open-source-big-data-architecture-papers-anil-madan\">\u300a100 open source Big Data architecture papers for data professionals\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bfb\u5b8c\u8fd9100\u7bc7\u8bba\u6587 \u5c31\u80fd\u6210\u5927\u6570\u636e\u9ad8\u624b,<a href=\"http:\/\/www.csdn.net\/article\/2015-07-07\/2825148\/1\">\u56fd\u5185\u7ffb\u8bd1<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/socialmedia-class.org\/syllabus.html\">\u300aSocial Media &amp; Text Analytics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NLP\u8bfe\u7a0b\u300a\u793e\u4ea4\u5a92\u4f53\u4e0e\u6587\u672c\u5206\u6790\u300b\u7cbe\u9009\u9605\u8bfb\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/xyclade.github.io\/MachineLearning\/\">\u300aMachine Learning for Developers\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5199\u7ed9\u5f00\u53d1\u8005\u7684\u673a\u5668\u5b66\u4e60\u6307\u5357.<\/p>\n<ul>\n<li><a href=\"http:\/\/hameddaily.blogspot.com\/2015\/06\/hot-news-detection-using-wikipedia_29.html\">\u300aHot news detection using Wikipedia\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8e\u7ef4\u57fa\u767e\u79d1\u7684\u70ed\u70b9\u65b0\u95fb\u53d1\u73b0.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/HIPS\">\u300aHarvard Intelligent Probabilistic Systems Group\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(Harvard)HIPS\u5c06\u53d1\u5e03\u53ef\u6269\u5c55\/\u81ea\u52a8\u8c03\u53c2\u8d1d\u53f6\u65af\u63a8\u7406\u795e\u7ecf\u7f51\u7edc.<\/p>\n<ul>\n<li><a href=\"http:\/\/jmlr.org\/proceedings\/papers\/v37\/jozefowicz15.html\">\u300aAn Empirical Exploration of Recurrent Network Architectures\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411\u4e0a\u4e0b\u6587\u611f\u77e5\u67e5\u8be2\u5efa\u8bae\u7684\u5c42\u6b21\u9012\u5f52\u7f16\u89e3\u7801\u5668.<\/p>\n<ul>\n<li><a href=\"http:\/\/jmlr.org\/proceedings\/papers\/v37\/tristan15.html\">\u300aEfficient Training of LDA on a GPU by Mean-for-Mode Estimation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:GPU\u4e0a\u57fa\u4e8eMean-for-Mode\u4f30\u8ba1\u7684\u9ad8\u6548LDA\u8bad\u7ec3.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=v-91JycaKjc&amp;hd=1\">\u300aFrom the Lab to the Factory: Building a Production Machine Learning Infrastructure\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4ece\u5b9e\u9a8c\u5ba4\u5230\u5de5\u5382\u2014\u2014\u6784\u5efa\u673a\u5668\u5b66\u4e60\u751f\u4ea7\u67b6\u6784.<\/p>\n<ul>\n<li><a href=\"http:\/\/piktochart.com\/6-useful-databases-to-dig-for-data\/\">\u300a6 Useful Databases to Dig for Data (and 100 more)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9002\u5408\u505a\u6570\u636e\u6316\u6398\u76846\u4e2a\u7ecf\u5178\u6570\u636e\u96c6(\u53ca\u53e6\u5916100\u4e2a\u5217\u8868).<\/p>\n<ul>\n<li><a href=\"http:\/\/www.computervisiontalks.com\/deep-networks-for-computer-vision-at-google\/\">\u300aDeep Networks for Computer Vision at Google \u2013 ILSVRC2014\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Google\u9762\u5411\u673a\u5668\u89c6\u89c9\u7684\u6df1\u5ea6\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/@louisdorard\/developer-considerations-for-choosing-a-machine-learning-api-20e2de15eb3a\">\u300aHow to choose a machine learning API to build predictive apps\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6784\u5efa\u9884\u6d4b\u7c7b\u5e94\u7528\u65f6\u5982\u4f55\u9009\u62e9\u673a\u5668\u5b66\u4e60API.<\/p>\n<ul>\n<li><a href=\"https:\/\/indico.io\/blog\/plotlines\/\">\u300aExploring the shapes of stories using Python and sentiment APIs\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Python+\u60c5\u611f\u5206\u6790API\u5b9e\u73b0\u6545\u4e8b\u60c5\u8282(\u66f2\u7ebf)\u5206\u6790.<\/p>\n<ul>\n<li><a href=\"http:\/\/melodywolk.com\/2015\/07\/21\/movie-selection-using-r\/\">\u300aMovie selection using R\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(R)\u57fa\u4e8eTwitter\/\u60c5\u611f\u5206\u6790\u7684\u53e3\u7891\u7535\u5f71\u63a8\u8350,\u6b64\u5916\u63a8\u8350<a href=\"http:\/\/freakonometrics.hypotheses.org\/20002\">\u5206\u7c7b\u7b97\u6cd5\u7684\u5b9e\u8bc1\u6bd4\u8f83\u5206\u6790<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/graph-ssl.wdfiles.com\/local--files\/blog%3A_start\/graph_ssl_acl12_tutorial_slides_final.pdf\">\u300aA Tutorial on Graph-based Semi-Supervised Learning Algorithms for NLP\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:CMU(ACL 2012)(500+\u9875)\u9762\u5411NLP\u57fa\u4e8e\u56fe\u7684\u534a\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1507.06411\">\u300aArbitrariness of peer review: A Bayesian analysis of the NIPS experiment\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4ece\u8d1d\u53f6\u65af\u5206\u6790NIPS\uff0c\u770b\u540c\u884c\u8bc4\u5ba1\u7684\u610f\u4e49.<\/p>\n<ul>\n<li><a href=\"http:\/\/videolectures.net\/rldm2015_littman_computational_reinforcement\/\">\u300aBasics of Computational Reinforcement Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(RLDM 2015)\u8ba1\u7b97\u5f3a\u5316\u5b66\u4e60\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/videolectures.net\/rldm2015_silver_reinforcement_learning\/\">\u300aDeep Reinforcement Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:David Silver\u7684\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u6559\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.adnanmasood.com\/2015\/07\/31\/on-explainability-of-deep-neural-networks\/\">\u300aOn Explainability of Deep Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u53ef\u89e3\u91ca\u6027.<\/p>\n<ul>\n<li><a href=\"http:\/\/info.mapr.com\/rs\/mapr\/images\/rd204-010d-spark_0.pdf\">\u300aThe Essential Spark Cheat Sheet\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Spark\u5feb\u901f\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.thetalkingmachines.com\/blog\/2015\/7\/30\/machine-learning-for-sports-and-real-time-predictions\">\u300aMachine Learning for Sports and Real Time Predictions\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:TalkingMachines:\u9762\u5411\u4f53\u80b2\/\u653f\u6cbb\u548c\u5b9e\u65f6\u9884\u6d4b\u7684\u673a\u5668\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"http:\/\/web.stanford.edu\/class\/cs224w\/index.html\">\u300aCS224W: Social and Information Network Analysis Autumn 2014\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Stanford\u793e\u4ea4\u7f51\u7edc\u4e0e\u4fe1\u606f\u7f51\u7edc\u5206\u6790\u8bfe\u7a0b<a href=\"http:\/\/web.stanford.edu\/class\/cs224w\/handouts.html\">\u8d44\u6599<\/a>+<a href=\"http:\/\/web.stanford.edu\/class\/cs224w\/projects.html\">\u8bfe\u8bbe<\/a>+<a href=\"http:\/\/web.stanford.edu\/class\/cs224w\/resources.html\">\u6570\u636e<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PL5X3mDkKaJrL42i_jhE4N-p6E2Ol62Ofa\">\u300aRL Course by David Silver\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:David Silver(DeeMind)\u7684\u5f3a\u5316\u5b66\u4e60\u8bfe\u7a0b,<a href=\"http:\/\/www0.cs.ucl.ac.uk\/staff\/d.silver\/web\/Teaching.html\">slide<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.dominodatalab.com\/gpu-computing-and-deep-learning\/\">\u300aFaster deep learning with GPUs and Theano\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eTheano\/GPU\u7684\u9ad8\u6548\u6df1\u5ea6\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.edx.org\/course\/introduction-r-programming-microsoft-dat204x\">\u300aIntroduction to R Programming\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81ea\u5fae\u8f6f\u7684.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/cdipaolo\/sentiment-server\">\u300aGolang:Web Server For Performing Sentiment Analysis\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(Go)\u60c5\u611f\u5206\u6790API\u670d\u52a1Sentiment Server.<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning4j.org\/restrictedboltzmannmachine.html\">\u300aA Beginner\u2019s Guide to Restricted Boltzmann Machines\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u53d7\u9650\u6ce2\u5c14\u5179\u66fc\u673a\u521d\u5b66\u8005\u6307\u5357.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdd.org\/kdd2015\/program.html\">\u300aKDD2015\u5341\u5e74\u6700\u4f73\u8bba\u6587\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/www.cs.uic.edu\/%7Eliub\/publications\/kdd04-revSummary.pdf\">Mining and Summarizing Customer Reviews <\/a>,<a href=\"http:\/\/homes.cs.washington.edu\/%7Epedrod\/papers\/kdd00.pdf\">Mining High-Speed Data Streams<\/a>,<a href=\"http:\/\/www.cs.cornell.edu\/people\/tj\/publications\/joachims_02c.pdf\">Optimizing Search Engines using Clickthrough Data<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.hellophp.cn\/archives\/733\">\u300aNvidia Deep Learning Courses\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Nvidia\u6df1\u5ea6\u5b66\u4e60\u8bfe\u7a0b.<\/p>\n<ul>\n<li><a href=\"https:\/\/sites.google.com\/site\/deeplearningsummerschool\/\">\u300aDeep Learning Summer School 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:2015\u5e74\u6df1\u5ea6\u5b66\u4e60\u6691\u671f\u8bfe\u7a0b\uff0c\u63a8\u8350<a href=\"http:\/\/www.iro.umontreal.ca\/%7Ememisevr\">\u8bb2\u5e08\u4e3b\u9875<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cvrobot.net\/image-recognition-progression-based-on-deep-learning-by-baidu\/\">\u300a\u767e\u5ea6\u6df1\u5ea6\u5b66\u4e60\u7684\u56fe\u50cf\u8bc6\u522b\u8fdb\u5c55\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u7bc7\u5173\u4e8e\u767e\u5ea6\u6587\u7ae0<a href=\"http:\/\/www.ccf.org.cn\/sites\/ccf\/xhdtnry.jsp?contentId=2857471255804\">\u300a\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u56fe\u50cf\u8bc6\u522b\u8fdb\u5c55\uff1a\u767e\u5ea6\u7684\u82e5\u5e72\u5b9e\u8df5\u300b<\/a>\u7684\u6458\u8981,\u5efa\u8bae\u4e24\u7bc7\u6587\u7ae0\u7ed3\u5408\u8d77\u6765\u9605\u8bfb.<\/p>\n<ul>\n<li><a href=\"http:\/\/rnd.azoft.com\/machine-learning-methods-video-annotation\/\">\u300aMachine Learning Methods in Video Annotation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u89c6\u9891\u6807\u6ce8\u4e2d\u7684\u673a\u5668\u5b66\u4e60\u6280\u672f.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.utoronto.ca\/%7Eilya\/pubs\/ilya_sutskever_phd_thesis.pdf\">\u300aTraining Recurrent Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u535a\u58eb\u8bba\u6587:(Ilya Sutskever)RNN\u8bad\u7ec3.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.adnanmasood.com\/2015\/07\/31\/on-explainability-of-deep-neural-networks\/\">\u300aOn Explainability of Deep Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u7070\u8272\u533a\u57df\uff1a\u53ef\u89e3\u91ca\u6027\u95ee\u9898\uff0c<a href=\"http:\/\/www.csdn.net\/article\/2015-08-17\/2825471\">\u4e2d\u6587\u7248<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.fodop.com\/ar-1002\">\u300aMachine Learning Libraries in GoLang by Category\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Golang \u5b9e\u73b0\u7684\u673a\u5668\u5b66\u4e60\u5e93\u8d44\u6e90\u6c47\u603b.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.shakirm.com\/wp-content\/uploads\/2015\/07\/SVDL.pdf\">\u300aA Statistical View of Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u7684\u7edf\u8ba1\u5206\u6790.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.researchgate.net\/publication\/279853751_DEEP_LEARNING_FOR_NLP_-_TIPS_AND_TECHNIQUES\">\u300aDeep Learning For NLP &#8211; Tips And Techniques\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411NLP\u7684\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u4e0e\u6280\u5de7.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.kaggle.com\/2015\/08\/18\/crowdflower-scripts-approaching-nlp\/\">\u300aCrowdFlower Competition Scripts: Approaching NLP\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Kaggle&#8217;s CrowdFlower\u7ade\u8d5bNLP\u4ee3\u7801\u96c6\u9526.<\/p>\n<ul>\n<li><a href=\"http:\/\/web.stanford.edu\/class\/cs224u\/index.html\">\u300aCS224U: Natural Language Understanding\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65af\u5766\u798f\u7684\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u8bfe\u7a0b.<\/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:Deep Learning\u4e0eShallow Learning \u4ecb\u7ecd<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ics.uci.edu\/%7Ewelling\/teaching\/ICS273Afall11\/IntroMLBook.pdf\">\u300aA First Encounter with Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u672c\u673a\u5668\u5b66\u4e60\u7684\u7535\u5b50\u4e66,\u4f5c\u8005<a href=\"http:\/\/www.ics.uci.edu\/%7Ewelling\/\">Max Welling<\/a>\u5148\u751f\u5728\u673a\u5668\u5b66\u4e60\u6559\u5b66\u4e0a\u9762\u6709\u7740\u4e30\u5bcc\u7684\u7ecf\u9a8c,\u8fd9\u672c\u4e66\u5c0f\u4f46\u7cbe\u81f4.<\/p>\n<ul>\n<li><a href=\"http:\/\/clickmodels.weebly.com\/uploads\/5\/2\/2\/5\/52257029\/mc2015-clickmodels.pdf\">\u300aClick Models for Web Search\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7531\u8377\u5170\u963f\u59c6\u65af\u7279\u4e39\u5927\u5b66 &amp; \u8c37\u6b4c\u745e\u58eb\u8457.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cnblogs.com\/shouhuxianjian\/p\/4529235.html\">\u300aHinton CSC321\u8bfe\u7a0b\/Deep Learning\/Notes on CNN\/Python\/Theano\/CUDA\/OpenCV\/&#8230;\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4ecb\u7ecd\u4e2a\u4e50\u4e8e\u603b\u7ed3\u548c\u7ffb\u8bd1\u673a\u5668\u5b66\u4e60\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u7c7b\u8d44\u6599\u7684\u535a\u5ba2,\u5305\u542b\u7684\u5185\u5bb9\uff1aHinton\u7684CSC321\u8bfe\u7a0b\u7684\u603b\u7ed3\uff1bDeep Learning\u7efc\u8ff0\uff1bNotes on CNN\u7684\u603b\u7ed3\uff1bpython\u7684\u539f\u7406\u603b\u7ed3\uff1bTheano\u57fa\u7840\u77e5\u8bc6\u548c\u7ec3\u4e60\u603b\u7ed3\uff1bCUDA\u539f\u7406\u548c\u7f16\u7a0b\uff1bOpenCV\u4e00\u4e9b\u603b\u7ed3.<\/p>\n<ul>\n<li><a href=\"http:\/\/blogs.technet.com\/b\/machinelearning\/archive\/2015\/09\/01\/which-algorithm-family-can-answer-my-question.aspx\">\u300aWhich Algorithm Family Can Answer My Question?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9488\u5bf9\u5177\u4f53\u95ee\u9898(\u5e94\u7528\u573a\u666f)\u5982\u4f55\u9009\u62e9\u673a\u5668\u5b66\u4e60\u7b97\u6cd5(\u7cfb\u5217).<\/p>\n<ul>\n<li><a href=\"http:\/\/www.learndatasci.stfi.re\/free-books\/\">\u300aFree Data Science Books\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u79d1\u5b66\u514d\u8d39\u4e66\u5206\u7c7b\u96c6\u5408<\/p>\n<ul>\n<li><a href=\"http:\/\/www.superlectures.com\/iscslp2014\/tutorial-4-deep-learning-for-speech-generation-and-synthesis\">\u300aTutorial 4: Deep Learning for Speech Generation and Synthesis\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u5728\u8bed\u97f3\u5408\u6210\u6700\u65b0\u8fdb\u5c55\u6709\u54ea\u4e9b\uff1f\u63a8\u8350MSRA\u7684Frank Soong\u8001\u5e08\u5173\u4e8e\u8bed\u97f3\u5408\u6210\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u7684\u5f55\u50cf\u548c\u5e7b\u706f\u7247\u4e0e\u4ee5\u53ca\u8c37\u6b4c\u7684LSTM-RNN\u5408\u6210<a href=\"http:\/\/static.googleusercontent.com\/media\/research.google.com\/en\/\/pubs\/archive\/42624.pdf\">\u4ecb\u7ecd<\/a>,<a href=\"http:\/\/static.googleusercontent.com\/media\/research.google.com\/en\/\/pubs\/archive\/43893.pdf\">\u8bba\u6587<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/leanpub.com\/artofdatascience\">\u300aThe Art of Data Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65b0\u4e66(\u53ef\u514d\u8d39\u4e0b\u8f7d):\u6570\u636e\u79d1\u5b66\u7684\u827a\u672f<\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/cmbishop\/prml\/\">\u300aPattern Recognition and Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6a21\u5f0f\u8bc6\u522b\u4e0e\u673a\u5668\u5b66\u4e60\u4e66\u7c4d\u63a8\u8350,\u672c\u4e66\u662f\u5fae\u8f6f\u5251\u6865\u7814\u7a76\u9662\u5927\u795eBishop\u6240\u5199\uff0c\u7b97\u662f\u6700\u4e3a\u5e7f\u4e3a\u8ba4\u77e5\u7684\u673a\u5668\u5b66\u4e60\u6559\u6750\u4e4b\u4e00\uff0c\u5185\u5bb9\u8986\u76d6\u5168\u9762\uff0c\u96be\u5ea6\u4e2d\u4e0a\uff0c\u9002\u5408\u7814\u7a76\u751f<a href=\"https:\/\/www.dropbox.com\/s\/sx95jq7n7zerrjl\/PRML_Translation.pdf?dl=0\">\u4e2d\u6587\u7248<\/a> or <a href=\"http:\/\/pan.baidu.com\/s\/1hqheD5E\">\u5907\u4efd<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/piksels.com\/wp-content\/uploads\/2009\/01\/visualizingdata.pdf\">\u300aan introduction to visualizing DATA\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u53ef\u89c6\u5316\u4ecb\u7ecd(23\u9875\u8896\u73cd\u5c0f\u518c\u5b50)<\/p>\n<ul>\n<li><a href=\"https:\/\/www.cs.cmu.edu\/%7Eyww\/papers\/emnlp2015petpeeves.pdf\">\u300aThat\u2019s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets \u2217\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u7bc7\u8bba\u6587\u8363\u83b7EMNLP2015\u7684\u6700\u4f73\u6570\u636e\/\u8d44\u6e90\u5956\u4f18\u79c0\u5956,<a href=\"https:\/\/www.cs.cmu.edu\/%7Eyww\/data\/petpeeves.zip\">\u6807\u6ce8\u7684\u63a8\u7279\u6570\u636e\u96c6<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.marekrei.com\/blog\/26-things-i-learned-in-the-deep-learning-summer-school\/\">\u300a26 Things I Learned in the Deep Learning Summer School\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4f5c\u8005\u5728\u6df1\u5ea6\u5b66\u4e60\u7684\u601d\u8003.<\/p>\n<ul>\n<li><a href=\"http:\/\/keshif.me\/demo\/VisTools\">\u300aData-Visualization Tools &amp; Books\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u53ef\u89c6\u5316\u5e38\u7528\u5de5\u5177\u8f6f\u4ef6\u8d44\u6e90\u6c47\u603b<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cedar.buffalo.edu\/%7Esrihari\/CSE574\/\">\u300aMachine Learning and Probabilistic Graphical Models Course\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Buffalo\u5927\u5b66\u6559\u6388Sargur Srihari\u7684\u201c\u673a\u5668\u5b66\u4e60\u548c\u6982\u7387\u56fe\u6a21\u578b\u201d\u7684\u89c6\u9891\u8bfe\u7a0b<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.huji.ac.il\/%7Eshais\/UnderstandingMachineLearning\/index.html\">\u300aUnderstanding Machine Learning: From Theory to Algorithms\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8036\u8def\u6492\u51b7\u5e0c\u4f2f\u6765\u5927\u5b66\u6559\u6388Shai Shalev-Shwartz\u548c\u6ed1\u94c1\u5362\u5927\u5b66\u6559\u6388Shai Ben-David\u7684\u65b0\u4e66Understanding Machine Learning: From Theory to Algorithms,\u6b64\u4e66\u5199\u7684\u6bd4\u8f83\u504f\u7406\u8bba\uff0c\u9002\u5408\u5bf9\u673a\u5668\u5b66\u4e60\u7406\u8bba\u6709\u5174\u8da3\u7684\u540c\u5b66\u9009\u8bfb<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/machine-learning-checklist\/\">\u300aMachine Learning Checklist\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5b66\u4e60\u6e05\u5355<\/p>\n<ul>\n<li><a href=\"http:\/\/www.zhihu.com\/question\/32318281\">\u300aNLP\u754c\u6709\u54ea\u4e9b\u795e\u7ea7\u4eba\u7269\uff1f\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u77e5\u4e4e\u4e0a\u9762\u7684\u4e00\u7bc7\u5173\u4e8eNLP\u754c\u6709\u54ea\u4e9b\u795e\u7ea7\u4eba\u7269\uff1f\u63d0\u95ee\u3002\u9996\u63a8Michael Collins<\/p>\n<ul>\n<li><a href=\"http:\/\/www.csdn.net\/article\/2015-09-08\/2825647\">\u300a\u673a\u5668\u5b66\u4e60\u6e29\u548c\u6307\u5357\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u4e0eNLP\u4e13\u5bb6\u3001MonkeyLearn\u8054\u5408\u521b\u59cb\u4eba&amp;CEO Ra\u00fal Garreta\u9762\u5411\u521d\u5b66\u8005\u5927\u4f53\u6982\u62ec\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u8fc7\u7a0b\u4e2d\u7684\u91cd\u8981\u6982\u5ff5\uff0c\u5e94\u7528\u7a0b\u5e8f\u548c\u6311\u6218\uff0c\u65e8\u5728\u8ba9\u8bfb\u8005\u80fd\u591f\u7ee7\u7eed\u63a2\u5bfb\u673a\u5668\u5b66\u4e60\u77e5\u8bc6\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/nbviewer.ipython.org\/github\/pprett\/pydata-gbrt-tutorial\/blob\/master\/gbrt-tutorial.ipynb\">\u300aGradient Boosted Regression Trees\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(IPN)\u57fa\u4e8eScikit-Learn\u7684GBRT(Gradient Boost Regression Tree)\u6559\u7a0b\uff0c<a href=\"http:\/\/orbi.ulg.ac.be\/bitstream\/2268\/163521\/1\/slides.pdf\">slide<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Edbsystem\/singa\/\">\u300aApache SINGA : Distributed Deep Learning System\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u65e0\u9700\u505a\u6df1\u5ea6\u5b66\u4e60\u5c31\u80fd\u7528\u7684\u5206\u5e03\u5f0f\u6df1\u5ea6\u5b66\u4e60\u8f6f\u4ef6.<\/p>\n<ul>\n<li><a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2800178\">\u300aE-commerce Recommendation with Personalized Promotion\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5728\u4e9a\u9a6c\u900a\u6570\u636e\u548c\u4f17\u5305Mechanical Turk\u4e0a\uff0c\u5b9e\u73b0\u4e86\u6765\u81ea\u5f69\u7968\u548c\u62cd\u5356\u7684\u673a\u5236\uff0c\u4ee5\u6536\u96c6\u7528\u6237\u5bf9\u4ea7\u54c1\u7684\u4e50\u610f\u8d2d\u4e70\u4ef7\u683c\uff08WTP\uff0cwillingness-to-pay\uff09\u8bad\u7ec3\u96c6\u3002 E-commerce Recommendation with Personalized Promotion [Zhao,RecSys15] \u56de\u5f52\u6a21\u578b\u9884\u6d4b\u672a\u77e5WTP\uff0c\u63d0\u5347\u5356\u5bb6\u5229\u6da6\u548c\u6d88\u8d39\u8005\u6ee1\u610f\u5ea6<\/p>\n<ul>\n<li><a href=\"https:\/\/www.edx.org\/course\/scalable-machine-learning-uc-berkeleyx-cs190-1x\">\u300aScalable Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81ea\u4f2f\u514b\u5229\u5206\u6821\u7684\u5927\u89c4\u6a21\u673a\u5668\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.52ml.net\/star\">\u300a\u673a\u5668\u5b66\u4e60\u8d44\u6599\u5927\u6c47\u603b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81ea52ml\u7684\u673a\u5668\u5b66\u4e60\u8d44\u6599\u5927\u6c47\u603b.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cis.upenn.edu\/%7Enenkova\/1500000015-Nenkova.pdf\">\u300aAutomatic Summarization\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u672c\u4e66\u7684\u4f5c<a href=\"http:\/\/www.cis.upenn.edu\/%7Enenkova\/\">\u8005McKeown<\/a>\u662f2013\u5e74\u4e16\u754c\u9996\u4e2a\u6570\u636e\u79d1\u5b66\u9662\uff08\u4f4d\u4e8e\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66\uff09\u4e3b\u4efb\uff0c\u5979\u4ea6\u662fACL\u3001AAAI\u548cACM Fellow .<\/p>\n<ul>\n<li><a href=\"http:\/\/www.emnlp2015.org\/proceedings\/EMNLP\/index.html\">\u300aProceedings of the 2015 Conference on Empirical Methods in Natural Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:EMNLP-15\u6587\u672c\u6458\u8981\u82e5\u5e72.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.slideshare.net\/xamat\/recommender-systems-machine-learning-summer-school-2014-cmu\">\u300aRecommender Systems (Machine Learning Summer School 2014 @ CMU)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81eaNetflix\u7684Xavier Amatriain\u5728Summer School 2014 @ CMU\u4e0a\u957f\u8fbe4\u5c0f\u65f6\u7684\u62a5\u544a\uff0c\u5171248\u9875\uff0c\u662f\u5bf9\u63a8\u8350\u7cfb\u7edf\u53d1\u5c55\u7684\u4e00\u6b21\u5168\u9762\u7efc\u8ff0\uff0c\u5176\u4e2d\u8fd8\u5305\u62ecNetflix\u5728\u4e2a\u6027\u5316\u63a8\u8350\u65b9\u9762\u7684\u4e00\u4e9b\u7ecf\u9a8c\u4ecb\u7ecd.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ecmlpkdd2015.org\/sites\/default\/files\/ECMLPKDD2015Slides.pdf\">\u300aBigData Stream Mining\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(ECML PKDD 2015)\u5927\u6570\u636e\u6d41\u6316\u6398\u6559\u7a0b,\u6b64\u5916\u63a8\u8350<a href=\"http:\/\/www.ecmlpkdd2015.org\/program\/tutorial-list\">ECML PKDD 2015 Tutorial\u5217\u8868<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/maxpumperla\/elephas\">\u300aDeep learning on Spark with Keras\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Spark\u4e0a\u7684<a href=\"https:\/\/github.com\/fchollet\/keras\">Keras<\/a>\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6Elephas.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=7KCWcx-YIRI&amp;hd=1\">\u300aProf. Surya Ganguli &#8211; The statistical physics of deep learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Surya Ganguli\u6df1\u5ea6\u5b66\u4e60\u7edf\u8ba1\u7269\u7406\u5b66.<\/p>\n<ul>\n<li><a href=\"http:\/\/cmlakhan.github.io\/courses\/videos.html\">\u300a(\u7cfb\u7edf\/\u7b97\u6cd5\/\u673a\u5668\u5b66\u4e60\/\u6df1\u5ea6\u5b66\u4e60\/\u56fe\u6a21\u578b\/\u4f18\u5316\/&#8230;)\u5728\u7ebf\u89c6\u9891\u8bfe\u7a0b\u5217\u8868\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(\u7cfb\u7edf\/\u7b97\u6cd5\/\u673a\u5668\u5b66\u4e60\/\u6df1\u5ea6\u5b66\u4e60\/\u56fe\u6a21\u578b\/\u4f18\u5316\/&#8230;)\u5728\u7ebf\u89c6\u9891\u8bfe\u7a0b\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/chdoig.github.io\/pytexas2015-topic-modeling\/\">\u300aIntroduction to Topic Modeling in Python\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(PyTexas 2015)Python\u4e3b\u9898\u5efa\u6a21.<\/p>\n<ul>\n<li><a href=\"http:\/\/yahoohadoop.tumblr.com\/post\/129872361846\/large-scale-distributed-deep-learning-on-hadoop\/\">\u300aLarge Scale Distributed Deep Learning on Hadoop Clusters\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Hadoop\u96c6\u7fa4\u4e0a\u7684\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.vordot.com\/deep-learning-employers-w-12020\/\">\u300aTop Deep Learning Employers Based On LinkedIn Data\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eLinkedIn\u6570\u636e\u5f97\u51fa\u7684\u6df1\u5ea6\u5b66\u4e60\u70ed\u95e8&#8221;\u4e1c\u5bb6&#8221;\u6392\u884c.<\/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:(c++)\u795e\u7ecf\u7f51\u7edc\u624b\u628a\u624b\u5b9e\u73b0\u6559\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/mmlab.ie.cuhk.edu.hk\/projects\/CelebA.html\">\u300aLarge-scale CelebFaces Attributes (CelebA) Dataset\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\u6c64\u6653\u9e25\u6559\u6388\u5b9e\u9a8c\u5ba4\u516c\u5e03\u7684\u5927\u578b\u4eba\u8138\u8bc6\u522b\u6570\u636e\u96c6\uff1a Large-scale CelebFaces Attributes (CelebA) Dataset 10K \u540d\u4eba\uff0c202K \u8138\u90e8\u56fe\u50cf\uff0c\u6bcf\u4e2a\u56fe\u50cf40\u4f59\u6807\u6ce8\u5c5e\u6027.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.cs.nyu.edu\/web\/Research\/Theses\/goroshin_ross.pdf\">\u300aUnsupervised Feature Learning in Computer Vision\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9762\u5411\u673a\u5668\u89c6\u89c9\u7684\u65e0\u76d1\u7763\u7279\u5f81\u5b66\u4e60,<a href=\"https:\/\/cs.nyu.edu\/%7Egoroshin\/\">Ross Goroshin&#8217;s webpage<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1506.03099v3.pdf\">\u300aScheduled Sampling for Sequence Prediction with Recurrent Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8c37\u6b4c\u7814\u7a76\u9662Samy Bengio\u7b49\u4eba\u6700\u8fd1\u5199\u7684RNN\u7684Scheduled Sampling\u8bad\u7ec3\u65b9\u6cd5\u8bba\u6587.<\/p>\n<ul>\n<li><a href=\"https:\/\/manish.wordpress.com\/2015\/10\/02\/essential-machine-learning-algorithms-in-a-nutshell\/\">\u300aEssential Machine Learning Algorithms in a nutshell\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u57fa\u672c\u7b97\u6cd5\u7b80\u8981\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.josephmisiti.com\/a-huge-list-of-machine-learning-repositories\/\">\u300aA Huge List of Machine Learning And Statistics Repositories\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Github\u673a\u5668\u5b66\u4e60\/\u6570\u5b66\/\u7edf\u8ba1\/\u53ef\u89c6\u5316\/\u6df1\u5ea6\u5b66\u4e60\u76f8\u5173\u9879\u76ee\u5927\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.cmu.edu\/%7Eaarti\/Class\/10704_Spring15\/lecs.html\">\u300aInformation Processing and Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:CMU\u7684\u4fe1\u606f\u8bba\u8bfe\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1506.03099v3.pdf\">\u300aScheduled sampling for sequence prediction with recurrent neural networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8c37\u6b4c\u7814\u7a76\u9662<a href=\"http:\/\/bengio.abracadoudou.com\/\">Samy Bengio<\/a>\u7b49\u4eba\u6700\u8fd1\u5199\u7684RNN\u7684Scheduled Sampling\u8bad\u7ec3\u65b9\u6cd5\u8bba\u6587.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.csdn.net\/article\/2015-10-01\/2825840\">\u300a\u57fa\u4e8eHadoop\u96c6\u7fa4\u7684\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u6df1\u5ea6\u5b66\u4e60\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eHadoop\u96c6\u7fa4\u7684\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u6df1\u5ea6\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1506.02626\">\u300aLearning both Weights and Connections for Efficient Neural Networks\u4e60\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81ea\u65af\u5766\u798f\u5927\u5b66\u53caNVIDIA\u7684\u5de5\u4f5c\uff0c\u5f88\u5b9e\u5728\u5f88\u5b9e\u7528\u3002\u91c7\u7528\u88c1\u526a\u7f51\u7edc\u8fde\u63a5\u53ca\u91cd\u8bad\u7ec3\u65b9\u6cd5\uff0c\u53ef\u5927\u5e45\u5ea6\u51cf\u5c11CNN\u6a21\u578b\u53c2\u6570\u3002\u9488\u5bf9AlexNet\u3001VGG\u7b49\u6a21\u578b\u53caImageNet\u6570\u636e\uff0c\u4e0d\u635f\u5931\u8bc6\u522b\u7cbe\u5ea6\u60c5\u51b5\u4e0b\uff0c\u6a21\u578b\u53c2\u6570\u53ef\u5927\u5e45\u5ea6\u51cf\u5c119-13\u500d.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Edbsystem\/singa\/\">\u300aApache Singa &#8211;A General Distributed Deep Learning Platform\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65e0\u9700\u505a\u6df1\u5ea6\u5b66\u4e60\u5c31\u80fd\u7528\u7684\u5206\u5e03\u5f0f\u6df1\u5ea6\u5b66\u4e60\u8f6f\u4ef6,<a href=\"https:\/\/github.com\/apache\/incubator-singa\">github<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.analyticsvidhya.com\/blog\/2015\/09\/ultimate-data-scientists-world-today\/\">\u300a24 Ultimate Data Scientists To Follow in the World Today\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5f53\u4eca\u4e16\u754c\u6700NB\u768425\u4f4d\u5927\u6570\u636e\u79d1\u5b66\u5bb6,\u901a\u8fc7\u4ed6\u4eec\u7684\u540d\u5b57\u7136\u540e\u653e\u5728google\u4e2d\u641c\u7d22\u80af\u5b9a\u80fd\u627e\u5230\u5f88\u591a\u5f88\u68d2\u7684\u8d44\u6e90<a href=\"http:\/\/blog.csdn.net\/heyongluoyao8\/article\/details\/48598169\">\u8bd1\u6587<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/nreimers\/deeplearning4nlp-tutorial\/tree\/master\/2015-10_Lecture\/\">\u300aDeep Learning for NLP &#8211; Lecture October 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Nils Reimers\u9762\u5411NLP\u7684\u6df1\u5ea6\u5b66\u4e60(Theano\/Lasagne)\u7cfb\u5217\u6559\u7a0b.<\/p>\n<ul>\n<li><a href=\"https:\/\/ccle.ucla.edu\/mod\/page\/view.php?id=834267\">\u300aConnection between probability theory and real analysis\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e3b\u8bb2\u4eba\u662f<a href=\"https:\/\/ccle.ucla.edu\/mod\/page\/view.php?id=834267\">\u9676\u54f2\u8f69<\/a>,\u8d44\u6599<a href=\"http:\/\/www.math.duke.edu\/%7Ertd\/PTE\/PTE4_1.pdf\">Probability: Theory and Examples<\/a>,<a href=\"https:\/\/terrytao.wordpress.com\/category\/275a-probability-theory\/\">\u7b14\u8bb0<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.districtdatalabs.com\/#%21resources\/c21hq\">\u300aData Science Learning Resources\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u79d1\u5b66(\u5b66\u4e60)\u8d44\u6e90\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset\/\">\u300a8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5e94\u5bf9\u975e\u5747\u8861\u6570\u636e\u96c6\u5206\u7c7b\u95ee\u9898\u7684\u516b\u5927\u7b56\u7565.<\/p>\n<ul>\n<li><a href=\"https:\/\/datarithms.wordpress.com\/2015\/08\/16\/top-20-data-science-moocs\/\">\u300aTop 20 Data Science MOOCs\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u91cd\u70b9\u63a8\u8350\u768420\u4e2a\u6570\u636e\u79d1\u5b66\u76f8\u5173\u8bfe\u7a0b.<\/p>\n<ul>\n<li><a href=\"https:\/\/shapeofdata.wordpress.com\/2015\/10\/20\/recurrent-neural-networks\/\">\u300aRecurrent Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9012\u5f52\u795e\u7ecf\u7f51\u7edc.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.duke.edu\/courses\/fall15\/compsci527\/notes\/hog.pdf\">\u300aHistograms of Oriented Gradients\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(HOG)\u5b66\u4e60\u7b14\u8bb0.<\/p>\n<ul>\n<li><a href=\"http:\/\/aidanhorner.blogspot.co.uk\/2015\/10\/computational-modelling-courses.html\">\u300aComputational modelling courses\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8ba1\u7b97\u5efa\u6a21\/\u8ba1\u7b97\u795e\u7ecf\u5b66\u8bfe\u7a0b\u6c47\u603b.<\/p>\n<ul>\n<li><a href=\"http:\/\/engineeringblog.yelp.com\/2015\/10\/how-we-use-deep-learning-to-classify-business-photos-at-yelp.html\">\u300aHow We Use Deep Learning to Classify Business Photos at Yelp\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(Yelp)\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5546\u4e1a\u56fe\u7247\u5206\u7c7b.<\/p>\n<ul>\n<li><a href=\"http:\/\/neuralnetworksanddeeplearning.com\/\">\u300aNeural Networks and Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u5728\u7ebf\u4e66\u300aNeural Networks and Deep Learning\u300b\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u3002\u76ee\u524d\u63d0\u4f9b\u4e86\u524d\u56db\u7ae0\u7684\u8349\u7a3f\uff0c<a href=\"http:\/\/mp.weixin.qq.com\/s?__biz=MzIxMjAzNDY5Mg==&amp;mid=400067748&amp;idx=1&amp;sn=9c88eadfba5462281cd496e85ba3329c\">\u7b2c\u4e00\u7ae0<\/a>\u901a\u8fc7\u624b\u5199\u6570\u5b57\u8bc6\u522b\u7684\u4f8b\u5b50\u4ecb\u7ecdNN\uff0c\u7b2c\u4e8c\u7ae0\u8bb2\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\uff0c\u7b2c\u4e09\u7ae0\u8bb2\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u7684\u4f18\u5316\uff0c\u7b2c\u56db\u7ae0\u8bb2NN\u4e3a\u4ec0\u4e48\u80fd\u62df\u5408\u4efb\u610f\u51fd\u6570\u3002\u5927\u91cfpython\u4ee3\u7801\u4f8b\u5b50\u548c\u4ea4\u4e92\u52a8\u753b\uff0c\u751f\u52a8\u6709\u8da3.<a href=\"https:\/\/tigerneil.gitbooks.io\/neural-networks-and-deep-learning-zh\/content\/\">\u4e2d\u6587\u7248<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.datasciguide.com\/books-to-read-if-you-might-be-interested-in-data-science\/\">\u300aBooks to Read if You Might Be Interested in Data Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u79d1\u5b66\u5927\u5496\u8350\u4e66(\u5165\u95e8).<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/andrewt3000\/DL4NLP\">\u300aDeep Learning for NLP resources\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NLP \u6df1\u5ea6\u5b66\u4e60\u8d44\u6e90\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/gitxiv.com\/\">\u300aGitXiv\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5f88\u591aarXiv\u4e0a\u9762\u77e5\u540d\u8bba\u6587\u53ef\u4ee5\u5728\u8fd9\u4e2a\u7f51\u7ad9\u627e\u5230github\u7684\u9879\u76ee\u94fe\u63a5.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1510.07945v1.pdf\">\u300aLearning Multi-Domain Convolutional Neural Networks for Visual Tracking\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u5728\u89c6\u89c9\u8ddf\u8e2a\u7684\u63a2\u7d22.<\/p>\n<ul>\n<li><a href=\"http:\/\/fullstackml.com\/2015\/10\/29\/beginners-guide-apache-spark-machine-learning-scenario-with-a-large-input-dataset\/\">\u300aBeginners Guide: Apache Spark Machine Learning Scenario With A Large Input Dataset\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Spark\u673a\u5668\u5b66\u4e60\u5165\u95e8\u5b9e\u4f8b\u2014\u2014\u5927\u6570\u636e\u96c6(30+g)\u4e8c\u5206\u7c7b.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.semanticscholar.org\/\">\u300aSemantic Scholar\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4fdd\u7f57\u827e\u4f26\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u8868\u793a\uff0cGoogle Scholar\u662f\u5341\u5e74\u524d\u7684\u4ea7\u7269\uff0c\u4ed6\u4eec\u73b0\u5728\u60f3\u8981\u505a\u8fdb\u4e00\u6b65\u7684\u63d0\u9ad8\u3002\u4e8e\u662f\u63a8\u51fa\u4e86\u5168\u65b0\u7684\uff0c\u4e13\u95e8\u9488\u5bf9\u79d1\u5b66\u5bb6\u8bbe\u8ba1\u7684\u5b66\u672f\u641c\u7d22\u5f15\u64ceSemantic Scholar.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.acad.bg\/ebook\/ml\/MITPress-%20SemiSupervised%20Learning.pdf\">\u300aSemi-Supervised Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u534a\u76d1\u7763\u5b66\u4e60,Chapelle.\u7bc7\u7bc7\u90fd\u662f\u7ecf\u5178,\u4f5c\u8005\u5305\u62ecVapnik,Bengio,Lafferty,Jordan.\u6b64\u5916\u63a8\u8350<a href=\"http:\/\/pages.cs.wisc.edu\/%7Ejerryzhu\/\">Xiaojin (Jerry) Zhu<\/a>\u7f16\u5199\u7684<a href=\"http:\/\/www.morganclaypool.com\/doi\/abs\/10.2200\/S00196ED1V01Y200906AIM006\">Introduction to Semi-Supervised Learning<\/a>.<\/p>\n<p>\u4ecb\u7ecd:Spark\u673a\u5668\u5b66\u4e60\u5165\u95e8\u5b9e\u4f8b\u2014\u2014\u5927\u6570\u636e\u96c6(30+g)\u4e8c\u5206\u7c7b.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.analyticsvidhya.com\/blog\/2015\/11\/free-resources-beginners-deep-learning-neural-network\/\">\u300aFree Resources for Beginners on Deep Learning and Neural Network\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e3a\u5165\u95e8\u8005\u51c6\u5907\u7684\u6df1\u5ea6\u5b66\u4e60\u4e0e\u795e\u7ecf\u7f51\u7edc\u514d\u8d39\u8d44\u6e90.<\/p>\n<ul>\n<li><a href=\"http:\/\/tensorflow.org\/\">\u300aTensorFlow is an Open Source Software Library for Machine Intelligence\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Google \u5f00\u6e90\u6700\u65b0\u673a\u5668\u5b66\u4e60\u7cfb\u7edf TensorFlow,\u6b64\u5916\u63d0\u4f9bTensorFlow\u767d\u76ae\u4e66<a href=\"http:\/\/pan.baidu.com\/s\/1jGyFPki\">white paper of tensorflow 2015<\/a>.<a href=\"https:\/\/news.ycombinator.com\/item?id=10532957\">hacker news<\/a>,<a href=\"https:\/\/www.youtube.com\/watch?v=90-S1M7Ny_o&amp;t=21m2s\">Google\u5927\u725b\u89e3\u8bfbTensorFlow<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/samsung\/veles\">\u300aVeles:Distributed machine learning platform\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e09\u661f\u5f00\u6e90\u7684\u5feb\u901f\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u5206\u5e03\u5f0f\u5e73\u53f0.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/Microsoft\/DMTK\">\u300aDMTK:Microsoft Distributed Machine Learning Tookit \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u5de5\u5177\u5305.<\/p>\n<ul>\n<li><a href=\"http:\/\/wiki.knoesis.org\/index.php\/BigDataTutorial\">\u300aSemantics Approach to Big Data and Event Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bed\u4e49\u5927\u6570\u636e\u2014\u2014\u5927\u6570\u636e\/\u4e8b\u4ef6\u5904\u7406\u7684\u8bed\u4e49\u65b9\u6cd5.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.zhihu.com\/question\/29411132\">\u300aLSTM(Long Short Term Memory)\u548cRNN(Recurrent)\u5b66\u4e60\u6559\u7a0b\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:LSTM(Long Short Term Memory)\u548cRNN(Recurrent)\u5b66\u4e60\u6559\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/marvin.is\/\">\u300aMarvin\uff1aA minimalist GPU-only N-dimensional ConvNet framework\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Princeton Vision Group\u7684\u6df1\u5ea6\u5b66\u4e60\u5e93\u5f00\u6e90.<\/p>\n<ul>\n<li><a href=\"http:\/\/ufora.github.io\/ufora\/\">\u300aUfora is a compiled, automatically parallel subset of python for data science and numerical computing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8eAWS\u7684\u81ea\u52a8\u5206\u5e03\u5f0f\u79d1\u5b66\u8ba1\u7b97\u5e93Ufora,<a href=\"https:\/\/medium.com\/art-marketing\/why-i-open-sourced-five-years-of-work-c5b5e0e38a6d\">Why I Open Sourced Five Years of Work<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=wBKfGaakFp8&amp;hd=1\">\u300aDeep Learning and Deep Data Science &#8211; PyCon SE 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(PyCon SE 2015)\u6df1\u5ea6\u5b66\u4e60\u4e0e\u6df1\u5ea6\u6570\u636e\u79d1\u5b66.<\/p>\n<ul>\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=rSVIHasAAAAJ&amp;hl=zh-CN&amp;oi=ao\">\u300aZhi-Hua Zhou Papers\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u63a8\u8350\u5357\u4eac\u5927\u5b66\u673a\u5668\u5b66\u4e60\u4e0e\u6570\u636e\u6316\u6398\u7814\u7a76\u6240\u6240\u957f\u2014\u2014\u5468\u5fd7\u534e\u6559\u6388\u7684Google\u5b66\u672f\u4e3b\u9875.<\/p>\n<ul>\n<li><a href=\"https:\/\/leanpub.com\/lm\">\u300aAdvanced Linear Models for Data Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u4e66:\u9762\u5411\u6570\u636e\u79d1\u5b66\u7684\u9ad8\u7ea7\u7ebf\u6027\u6a21\u578b.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1511.05641\">\u300aNet2Net: Accelerating Learning via Knowledge Transfer\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8e\u77e5\u8bc6\u8fc1\u79fb\u7684\u795e\u7ecf\u7f51\u7edc\u9ad8\u6548\u8bad\u7ec3Net2Net.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc\">\u300a\u5f90\u4ea6\u8fbe\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b Variational Inference\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5f90\u4ea6\u8fbe\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b Variational Inference.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1511.05497v1\">\u300aLearning the Architecture of Deep Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7ed3\u6784\u5b66\u4e60.<\/p>\n<ul>\n<li><a href=\"http:\/\/ai.stanford.edu\/%7Eang\/papers\/icml11-MultimodalDeepLearning.pdf\">\u300aMultimodal Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6765\u81ea\u65af\u5766\u798f\u5927\u5b66\u7684Multimodal Deep Learning papers.<\/p>\n<ul>\n<li><a href=\"http:\/\/chiffon.gitcafe.io\/2015\/11\/16\/long.html\">\u300a\u6df1\u5ea6\u5b66\u4e60\u7b80\u6790,TensorFlow,Torch,Theano,Mxnet\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u7b80\u6790,TensorFlow,Torch,Theano,<a href=\"https:\/\/github.com\/dmlc\/mxnet\">Mxnet<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/notes-essays-cs183c-technology-enabled-blitzscalin\/latest\">\u300a&#8221;Notes Essays \u2014CS183C: Technology-enabled Blitzscaling\u200a\u2014\u200aStanford University\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u4e2a\u4e13\u680f\u662f\u4e00\u4e2astanford\u5b66\u751f\u505a\u7684CS183c\u8bfe\u7a0b\u7684\u4e00\u4e2anote\uff0c\u8be5\u8bfe\u7a0b\u662f\u7531Reid Hoffman\u7b49\u4e92\u8054\u7f51boss\u7ea7\u4eba\u7269\u5f00\u8bbe\u7684\uff0c\u6bcf\u8282\u8bfe\u8bf7\u4e00\u4f4d\u5de8\u5934\u516c\u53f8\u7684\u76f8\u5173\u8d1f\u8d23\u4eba\u6765\u505a\u8bbf\u8c08\uff0c\u8bb2\u8ff0\u8be5\u516c\u53f8\u662f\u600e\u4e48scale\u7684\u3002\u6700\u65b0\u4e24\u671f\u5206\u522b\u8bf7\u5230\u4e86\u96c5\u864e\u7684\u6885\u59d0 \u548cairbnb\u521b\u59cb\u4ebaBrian Chesky\u3002.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/nyu-dl\/NLP_DL_Lecture_Note\">\u300aNatural Language Understanding with Distributed Representation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u57fa\u4e8e\u5206\u5e03\u5f0f\u8868\u793a\u7684\u81ea\u7136\u8bed\u8a00\u7406\u89e3(100+\u9875),<a href=\"http:\/\/arxiv.org\/abs\/1511.07916\">\u8bba\u6587<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/link.springer.com\/book\/10.1007\/978-1-4899-7637-6\">\u300aRecommender Systems Handbook\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u63a8\u8350\u7cfb\u7edf\u624b\u518c.<\/p>\n<ul>\n<li><a href=\"http:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/index.html\">\u300aUnderstanding LSTM Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7406\u89e3LSTM\u7f51\u7edc<a href=\"http:\/\/www.csdn.net\/article\/2015-11-25\/2826323\">\u7ffb\u8bd1<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.linkedin.com\/pulse\/machine-learning-quora-xavier-amatriain\">\u300aMachine Learning at Quora\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5728quora\u4e2d\u7684\u5e94\u7528.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1511.09249\">\u300aOn Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u601d\u7ef4\u5b66\u4e60\u2014\u2014RL+RNN\u7b97\u6cd5\u4fe1\u606f\u8bba.<\/p>\n<ul>\n<li><a href=\"https:\/\/blog.rjmetrics.com\/2015\/12\/01\/the-5-ways-data-scientists-keep-learning-after-college\/\">\u300aThe 5 Ways Data Scientists Keep Learning After College\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u79d1\u5b66\u5bb6\u6bd5\u4e1a\u540e\u7ee7\u7eed\u5b66\u4e60\u76845\u79cd\u65b9\u5f0f.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1404.7828\">\u300aDeep Learning in Neural Networks: An Overview\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u5728\u795e\u7ecf\u7f51\u7edc\u7684\u5e94\u7528.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1511.06429\">\u300aContextual Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e0a\u4e0b\u6587\u5b66\u4e60,<a href=\"https:\/\/gitlab.tubit.tu-berlin.de\/rbo-lab\/concarne\">\u4ee3\u7801<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/pythonforengineers.com\/machine-learning-for-complete-beginners\/\">\u300aMachine Learning For Complete Beginners\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u96f6\u57fa\u7840\u5165\u95e8,<a href=\"https:\/\/github.com\/shantnu\/Titanic-Machine-Learning\">\u4ee3\u7801<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.ccf.org.cn\/sites\/ccf\/xhdtnry.jsp?contentId=2897719129810\">\u300a2015\u5e74\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\uff08CCF\uff09\u4f18\u79c0\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:2015\u5e74\u5ea6CCF\u4f18\u79c0\u535a\u58eb\u5b66\u4f4d\u8bba\u6587\u5956\u8bba\u6587\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/cs.nju.edu.cn\/lwj\/L2H.html\">\u300aLearning to Hash Paper, Code and Dataset\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Learning to Hash Paper, Code and Dataset.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=dtGhSE1PFh0\">\u300aNeural networks with Theano and Lasagne\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(PyData2015)\u57fa\u4e8eTheano\/Lasagne\u7684CNN\/RNN\u6559\u7a0b,<a href=\"https:\/\/github.com\/ebenolson\/pydata2015\">github<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2ltDAT\">\u300a\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u8bb2\u4e49\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u590d\u65e6\u5927\u5b66<a href=\"http:\/\/weibo.com\/xpqiu\">\u90b1\u9521\u9e4f<\/a>\u8001\u5e08\u7f16\u5199\u7684\u795e\u7ecf\u7f51\u7edc\u4e0e\u6df1\u5ea6\u5b66\u4e60\u8bb2\u4e49,<a href=\"http:\/\/vdisk.weibo.com\/s\/ayG13we2lDzcV\">ppt<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.dmtk.io\/index.html\">\u300aMicrosoft Open Sources Distributed Machine Learning Toolkit\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5f00\u6e90\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u5de5\u5177\u5305.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.zhihu.com\/question\/20398418\">\u300a\u8bed\u97f3\u8bc6\u522b\u7684\u6280\u672f\u539f\u7406\u662f\u4ec0\u4e48\uff1f\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8bed\u97f3\u8bc6\u522b\u7684\u6280\u672f\u539f\u7406\u6d45\u6790<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.berkeley.edu\/%7Ejordan\/\">\u300aMichael I. Jordan\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fc8\u514b\u5c14\u00b7I.\u4e54\u4e39\u7684\u4e3b\u9875.\u6839\u636e\u4e3b\u9875\u53ef\u4ee5\u627e\u5230\u5f88\u591a\u8d44\u6e90\u3002\u8fc8\u514b\u5c14\u00b7I.\u4e54\u4e39\u662f\u77e5\u540d\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u7edf\u8ba1\u5b66\u5b66\u8005\uff0c\u4e3b\u8981\u7814\u7a76\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u3002\u4ed6\u7684\u91cd\u8981\u8d21\u732e\u5305\u62ec\u6307\u51fa\u4e86\u673a\u5668\u5b66\u4e60\u4e0e\u7edf\u8ba1\u5b66\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u5e76\u63a8\u52a8\u673a\u5668\u5b66\u4e60\u754c\u5e7f\u6cdb\u8ba4\u8bc6\u5230\u8d1d\u53f6\u65af\u7f51\u7edc\u7684\u91cd\u8981\u6027\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.toronto.edu\/%7Ehinton\/\">\u300aGeoff Hinton\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\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.\u901a\u8fc7\u4ed6\u7684\u4e3b\u9875\u53ef\u4ee5\u53d1\u6398\u5230\u5f88\u591aPaper\u4ee5\u53ca\u4f18\u79c0\u5b66\u751f\u7684paper,\u6b64\u5916\u63a8\u8350\u4ed6\u7684\u5b66\u751f<a href=\"http:\/\/yann.lecun.com\/\">Yann Lecun<\/a>\u4e3b\u9875<\/p>\n<ul>\n<li><a href=\"http:\/\/www.iro.umontreal.ca\/%7Ebengioy\/yoshua_en\/index.html\">\u300aYoshua Bengio\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Yoshua Bengio\u662f\u673a\u5668\u5b66\u4e60\u65b9\u5411\u7684\u725b\u4eba,\u5982\u679c\u4f60\u4e0d\u77e5\u9053\u53ef\u4ee5\u9605\u8bfb<a href=\"http:\/\/www.infoq.com\/cn\/articles\/ask-yoshua-bengio\">\u5bf9\u8bdd\u673a\u5668\u5b66\u4e60\u5927\u795eYoshua Bengio\uff08\u4e0a\uff09<\/a>,<a href=\"http:\/\/www.infoq.com\/cn\/articles\/ask-yoshua-bengio-2\">\u5bf9\u8bdd\u673a\u5668\u5b66\u4e60\u5927\u795eYoshua Bengio\uff08\u4e0b\uff09<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/static.googleusercontent.com\/media\/research.google.com\/en\/us\/people\/jeff\/CIKM-keynote-Nov2014.pdf\">\u300aLarge Scale Deep Learning within google\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:google\u5927\u89c4\u6a21\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u6f14\u8fdb<\/p>\n<ul>\n<li><a href=\"http:\/\/goodfeli.github.io\/dlbook\/\">\u300aDeep Learning: An MIT Press Book in Preparation\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:MIT\u51fa\u7248\u7684\u6df1\u5ea6\u5b66\u4e60\u7535\u5b50\u4e66,\u516c\u5f00\u7535\u5b50\u4e66<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1512.06293\">\u300aA Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc(CNN)\u63d0\u53d6\u7279\u5f81\u7684\u6570\u5b66\u7406\u8bba<\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/en-us\/um\/people\/kahe\/\">\u300aMicrosoft Research Asia\uff1aKaiming He\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u63a8\u8350\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4f55\u607a\u660e\u4e3b\u9875<\/p>\n<ul>\n<li><a href=\"http:\/\/web.stanford.edu\/%7Ejurafsky\/slp3\/\">\u300aSpeech and Language Processing (3rd ed. draft)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u300a\u8bed\u97f3\u4e0e\u8bed\u8a00\u5904\u7406\u300b\u7b2c\u4e09\u7248(\u8349\u7a3f)<\/p>\n<ul>\n<li><a href=\"http:\/\/web.stanford.edu\/%7Ejurafsky\/li15\/\">\u300aLSA 311: Computational Lexical Semantics &#8211; Summer 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Stanford\u65b0\u8bfe&#8221;\u8ba1\u7b97\u8bcd\u6c47\u8bed\u4e49\u5b66&#8221;<\/p>\n<ul>\n<li><a href=\"http:\/\/ocw.sjtu.edu.cn\/G2S\/OCW\/cn\/CourseDetails.htm?Id=397\">\u300a\u4e0a\u6d77\u4ea4\u5927\u5f20\u5fd7\u534e\u8001\u5e08\u7684\u7edf\u8ba1\u673a\u5668\u5b66\u4e60\u4e0e\u673a\u5668\u5b66\u4e60\u5bfc\u8bba\u89c6\u9891\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e0a\u6d77\u4ea4\u5927\u5f20\u5fd7\u534e\u8001\u5e08\u7684\u7edf\u8ba1\u673a\u5668\u5b66\u4e60\u4e0e\u673a\u5668\u5b66\u4e60\u5bfc\u8bba\u89c6\u9891<a href=\"http:\/\/pan.baidu.com\/s\/1mgPi7jU\">\u94fe\u63a5:<\/a>\u5bc6\u7801: r9ak .<a href=\"http:\/\/ocw.sjtu.edu.cn\/G2S\/OCW\/cn\/CourseDetails.htm?Id=398\">\u6982\u7387\u57fa\u7840<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/COLI_a_00239\">\u300aComputational Linguistics and Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:computational linguistics and deep learning<a href=\"http:\/\/techtalks.tv\/talks\/computational-linguistics-and-deep-learning\/61759\/\">\u89c6\u9891<\/a>,\u63a8\u8350<a href=\"https:\/\/speakerdeck.com\/baojie\/deep-learning-an-introduction-from-the-nlp-perspective-by-kevin-duh\">Deep Learning: An Introduction from the NLP Perspective<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=zfVfpMcUkq8\">\u300aBlack Hat USA 2015 &#8211; Deep Learning On Disassembly\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(BlackHat2015)\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u4e4b\u6d41\u91cf\u9274\u522b(\u534f\u8bae\u9274\u522b\/\u5f02\u5e38\u68c0\u6d4b),)(<a href=\"https:\/\/www.blackhat.com\/docs\/us-15\/materials\/us-15-Wang-The-Applications-Of-Deep-Learning-On-Traffic-Identification.pdf%29,%5Bmaterial%5D%28https:\/\/www.blackhat.com\/docs\/us-15\/materials\/us-15-Wang-The-Applications-Of-Deep-Learning-On-Traffic-Identification-wp.pdf\">https:\/\/www.blackhat.com\/docs\/us-15\/materials\/us-15-Wang-The-Applications-Of-Deep-Learning-On-Traffic-Identification.pdf),[material](https:\/\/www.blackhat.com\/docs\/us-15\/materials\/us-15-Wang-The-Applications-Of-Deep-Learning-On-Traffic-Identification-wp.pdf<\/a>)<\/p>\n<ul>\n<li><a href=\"http:\/\/www.librec.net\/\">\u300aLibRec\uff1aA Java Library for Recommender Systems\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u4e2a\u63a8\u8350\u7cfb\u7edf\u7684Java\u5e93<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1512.07372\">\u300aMulti-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u591a\u4e2d\u5fc3\u56fe\u7684\u8c31\u5206\u89e3\u53ca\u5176\u5728\u7f51\u7edc\u5165\u4fb5\u68c0\u6d4b\u4e2d\u7684\u5e94\u7528(MC-GPCA&amp;MC-GDL)<\/p>\n<ul>\n<li><a href=\"http:\/\/people.duke.edu\/%7Eccc14\/sta-663\/\">\u300aComputational Statistics in Python\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528Python\u5b66\u8ba1\u7b97\u7edf\u8ba1\u5b66<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.datumbox.com\/new-open-source-machine-learning-framework-written-in-java\/\">\u300aNew open-source Machine Learning Framework written in Java\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:datumbox-framework\u2014\u2014Java\u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u8be5\u6846\u67b6\u91cd\u70b9\u662f\u63d0\u4f9b\u5927\u91cf\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u7edf\u8ba1\u68c0\u9a8c\uff0c\u5e76\u80fd\u591f\u5904\u7406\u4e2d\u5c0f\u89c4\u6a21\u7684\u6570\u636e\u96c6<\/p>\n<ul>\n<li><a href=\"http:\/\/jiwonkim.org\/awesome-rnn\/\">\u300aAwesome Recurrent Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9012\u5f52\u795e\u7ecf\u7f51\u7edcawesome\u7cfb\u5217,\u6db5\u76d6\u4e86\u4e66\u7c4d,\u9879\u76ee,paper\u7b49<\/p>\n<ul>\n<li><a href=\"http:\/\/homes.cs.washington.edu\/%7Epedrod\/\">\u300aPedro Domingos\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Pedro Domingos\u662f\u534e\u76db\u987f\u5927\u5b66\u7684\u6559\u6388,\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u673a\u5668\u5b66\u4e60\u4e0e\u6570\u636e\u6316\u6398.\u57282015\u5e74\u7684ACM webinar\u4f1a\u8bae,\u66fe\u53d1\u8868\u4e86\u5173\u4e8e<a href=\"http:\/\/www.almosthuman.cn\/2015\/11\/28\/t8ysa\/\">\u76d8\u70b9\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u4e94\u5927\u6d41\u6d3e<\/a>\u4e3b\u9898\u6f14\u8bb2.\u4ed6\u7684\u4e2a\u4eba\u4e3b\u9875\u62e5\u6709\u5f88\u591a\u76f8\u5173\u7814\u7a76\u7684paper\u4ee5\u53ca\u4ed6\u7684\u6559\u6388\u8bfe\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/dustintran.com\/blog\/video-resources-for-machine-learning\/\">\u300aVideo resources for machine learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u89c6\u9891\u96c6\u9526<\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/@abduljaleel\/deep-machine-learning-libraries-and-frameworks-5fdf2bb6bfbe#.lwn2iyjsn\">\u300aDeep Machine Learning libraries and frameworks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u673a\u5668\u5b66\u4e60\u5e93\u4e0e\u6846\u67b6<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/Flowerowl\/Big-Data-Resources\">\u300a\u5927\u6570\u636e\/\u6570\u636e\u6316\u6398\/\u63a8\u8350\u7cfb\u7edf\/\u673a\u5668\u5b66\u4e60\u76f8\u5173\u8d44\u6e90\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u7bc7\u6587\u7ae0\u5185\u7684\u63a8\u8350\u7cfb\u7edf\u8d44\u6e90\u5f88\u4e30\u5bcc,\u4f5c\u8005\u5f88\u6709\u5fc3,\u6458\u5f55\u4e86\u300a\u63a8\u8350\u7cfb\u7edf\u5b9e\u6218\u300b\u5185\u5f15\u7528\u7684\u8bba\u6587.<\/p>\n<ul>\n<li><a href=\"http:\/\/nbviewer.ipython.org\/github\/jakevdp\/AAS227Workshop\/blob\/master\/Index.ipynb\">\u300aBayesian Methods in Astronomy: Hands-on Statistics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(\u5929\u6587\u5b66)\u8d1d\u53f6\u65af\u65b9\u6cd5\/MCMC\u6559\u7a0b\u2014\u2014\u7edf\u8ba1\u5b9e\u6218<\/p>\n<ul>\n<li><a href=\"http:\/\/web.stanford.edu\/%7Ehastie\/StatLearnSparsity\/index.html\">\u300aStatistical Learning with Sparsity: The Lasso and Generalizations\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u514d\u8d39\u4e66:\u7edf\u8ba1\u7a00\u758f\u5b66\u4e60,\u4f5c\u8005<a href=\"http:\/\/web.stanford.edu\/%7Ehastie\/\">Trevor Hastie<\/a>\u4e0e<a href=\"http:\/\/statweb.stanford.edu\/%7Etibs\/\">Rob Tibshirani<\/a>\u90fd\u662f\u65af\u5766\u798f\u5927\u5b66\u7684\u6559\u6388,Trevor Hastie\u66f4\u662f\u5728\u7edf\u8ba1\u5b66\u5b66\u4e60\u4e0a\u5efa\u6811\u5f88\u591a<\/p>\n<ul>\n<li><a href=\"http:\/\/www.mango-solutions.com\/wp\/2016\/01\/the-evolution-of-distributed-programming-in-r\/\">\u300aThe Evolution of Distributed Programming in R\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R\u5206\u5e03\u5f0f\u8ba1\u7b97\u7684\u8fdb\u5316,\u6b64\u5916\u63a8\u8350<a href=\"https:\/\/aschinchon.wordpress.com\/2016\/01\/07\/climatic-change-at-a-glance\/\">(R)\u6c14\u5019\u53d8\u5316\u53ef\u89c6\u5316<\/a>,<a href=\"http:\/\/blog.revolutionanalytics.com\/2016\/01\/getting-started-with-markov-chains.html\">(R)\u9a6c\u5c14\u53ef\u592b\u94fe\u5165\u95e8<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.nervanasys.com\/neon-workshop-at-startup-ml-sentiment-analysis-and-deep-reinforcement-learning\/\">\u300aneon workshop at Startup.ML: Sentiment Analysis and Deep Reinforcement Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Nervana Systems\u5728<a href=\"http:\/\/startup.ml\/\">Startup.ML<\/a>\u7684\u4e3b\u9898\u7814\u8ba8\u4f1a\u2014\u2014\u60c5\u611f\u5206\u6790\u4e0e\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60<\/p>\n<ul>\n<li><a href=\"http:\/\/timdettmers.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.<\/p>\n<ul>\n<li><a href=\"http:\/\/faroba.com\/2015\/12\/03\/a-python-libraries-for-building-recommender-systems\/\">\u300aPython libraries for building recommender systems\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Python\u63a8\u8350\u7cfb\u7edf\u5f00\u53d1\u5e93\u6c47\u603b.<\/p>\n<ul>\n<li><a href=\"http:\/\/info.usherbrooke.ca\/hlarochelle\/neural_networks\/content.html\">\u300aNeural networks class &#8211; Universit\u00e9 de Sherbrooke\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8d85\u68d2\u7684\u795e\u7ecf\u7f51\u7edc\u8bfe\u7a0b\uff0c\u6df1\u5165\u6d45\u51fa\u4ecb\u7ecd\u6df1\u5ea6\u5b66\u4e60\uff0c\u7531Hugo Larochelle\uff08Yoshua Bengio\u7684\u535a\u58eb\u751f\uff0cGeoffrey Hinton\u4e4b\u524d\u7684\u535a\u58eb\u540e\uff09\u4e3b\u8bb2\uff0c\u5f3a\u70c8\u63a8\u8350.<\/p>\n<ul>\n<li><a href=\"http:\/\/vision.stanford.edu\/teaching\/cs231n\/index.html\">\u300aCS231n: Convolutional Neural Networks for Visual Recognition\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u65af\u5766\u798f\u65b0\u8bfe\u7a0b,\u9762\u5411\u89c6\u89c9\u8bc6\u522b\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc(Fei-Fei Li &amp; Andrej Karpathy),<a href=\"http:\/\/vision.stanford.edu\/teaching\/cs231n\/syllabus.html\">slides+video<\/a>,<a href=\"http:\/\/cs231n.github.io\/\">homework<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/yanran.li\/peppypapers\/2015\/12\/11\/nips-2015-deep-learning-symposium-part-i.html\">\u300aNIPS 2015 Deep Learning Symposium Part I\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NIPS 2015\u4f1a\u8bae\u603b\u7ed3\u7b2c\u4e00\u90e8\u5206,<a href=\"http:\/\/yanran.li\/peppypapers\/2016\/01\/09\/nips-2015-deep-learning-symposium-part-ii.html\">\u7b2c\u4e8c\u90e8\u5206<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/michaelxiang.me\/2015\/12\/16\/python-machine-learning-list\/\">\u300apython\u673a\u5668\u5b66\u4e60\u5165\u95e8\u8d44\u6599\u68b3\u7406\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:python\u673a\u5668\u5b66\u4e60\u5165\u95e8\u8d44\u6599\u68b3\u7406.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.robots.ox.ac.uk\/%7Evgg\/publications\/2016\/Jaderberg16\/\">\u300aReading Text in the Wild with Convolutional Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u725b\u6d25\u5927\u5b66\u8457\u540d\u89c6\u89c9\u51e0\u4f55\u7ec4VGG\u5728IJCV16\u5e74\u9996\u5377\u9996\u671f: Reading Text in the Wild with Convolutional Neural Networks,Jaderberg\u3002\u8fd9\u7bc7\u671f\u520a\u6587\u7ae0\u878d\u5408\u4e86\u4e4b\u524d\u4e24\u7bc7\u4f1a\u8bae(ECCV14,NIPS14ws)\uff0c\u5b9a\u4f4d\u548c\u8bc6\u522b\u56fe\u7247\u4e2d\u7684\u6587\u672c(\u53ebtext spotting)\u3002 \u7aef\u5230\u7aef\u7cfb\u7edf: \u68c0\u6d4bRegion + \u8bc6\u522bCNN\u3002\u8bba\u6587\u3001\u6570\u636e\u548c\u4ee3\u7801.<\/p>\n<ul>\n<li><a href=\"http:\/\/riemenschneider.hayko.at\/vision\/dataset\/\">\u300aYet Another Computer Vision Index To Datasets (YACVID)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u4e00\u4e2a\u8f83\u5927\u7684\u6570\u636e\u96c6\u7d22\u5f15, \u5305\u542b387\u4e2a\u6807\u7b7e\uff0c\u5171\u6536\u5f55\u4e86314\u4e2a\u6570\u636e\u96c6\u5408\uff0c\u70b9\u51fb\u6807\u7b7e\u4e91\u5c31\u53ef\u4ee5\u627e\u5230\u81ea\u5df1\u9700\u8981\u7684\u5e93\u4e86.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.computervisionblog.com\/2016\/01\/why-slam-matters-future-of-real-time.html\">\u300aWhy SLAM Matters, The Future of Real-Time SLAM, and Deep Learning vs SLAM\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Tombone \u5bf9 ICCV SLAM workshop \u7684\u603b\u7ed3\uff1a the future of SLAM, SLAM vs deep learning \u91cd\u70b9\u4ecb\u7ecd\u4e86 monoSLAM \u548c LSD-SLAM\uff0c\u800c\u4e14\u8ba8\u8bba\u4e86 feature-based \u548c feature-free method \u7684\u957f\u77ed\u3002\u5728\u5168\u6c11deep learning\u505avisual perception\u7684\u65f6\u5019\uff0c\u518d\u6765\u8bfb\u8bfbCV\u4e2d\u7684 geometry.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/NervanaSystems\/neon\">\u300aPython based Deep Learning Framework by Nervana\u2122\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Nervana Systems\u7684\u5f00\u6e90\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6neon\u53d1\u5e03.<\/p>\n<ul>\n<li><a href=\"http:\/\/image-net.org\/challenges\/ilsvrc+mscoco2015\">\u300amageNet and MS COCO Visual Recognition Challenges video and slider\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:ICCV 2015\u7684ImageNet\u6bd4\u8d5b\u4ee5\u53caMS COCO\u7ade\u8d5b\u8054\u5408\u7814\u8ba8\u4f1a\u7684\u5e7b\u706f\u7247\u548c\u89c6\u9891.<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.districtdatalabs.com\/an-introduction-to-machine-learning-with-python\">\u300aAn Introduction to Machine Learning with Python\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Python\u673a\u5668\u5b66\u4e60\u5165\u95e8.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1512.00965\">\u300aNeural Enquirer: Learning to Query Tables with Natural Language\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Neural Enquirer \u7b2c\u4e8c\u7248.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.udacity.com\/course\/deep-learning--ud730\">\u300aDeep Learning &#8211; Taking machine learning to the next level\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:[Google]\u57fa\u4e8eTensorFlow\u7684\u6df1\u5ea6\u5b66\u4e60\/\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.r-bloggers.com\/100-must-read-r-bloggers-posts-for-2015\/\">\u300a100 \u201cmust read\u201d R-bloggers\u2019 posts for 2015\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R-bloggers\u7f51\u7ad92015&#8243;\u5fc5\u8bfb&#8221;\u7684100\u7bc7\u6587\u7ae0,R\u8bed\u8a00\u5b66\u4e60\u7684\u798f\u97f3.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.ubc.ca\/%7Emurphyk\/MLbook\/index.html\">\u300aMachine Learning: a Probabilistic Perspective\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u63a8\u8350\u4e66\u7c4d:&lt;\u673a\u5668\u5b66\u4e60\uff1a\u6982\u7387\u89c6\u89d2&gt;,\u6837\u7ae0<a href=\"http:\/\/www.cs.ubc.ca\/%7Emurphyk\/MLbook\/pml-print3-ch19.pdf\">Undirected graphical models Markov random fields<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.deeplearningbook.org\/\">\u300aDeep learning Book\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u672c\u5728\u7ebf\u7684\u6df1\u5ea6\u5b66\u4e60\u4e66\u7c4d,\u5408\u8457\u8005\u6709Ian Goodfellow, Yoshua Bengio \u548c Aaron Courville.\u5982\u679c\u4f60\u662f\u4e00\u4f4d\u65b0\u5165\u95e8\u7684\u5b66\u5458\u53ef\u4ee5\u5148\u770b\u8fd9\u672c\u4e66\u7c4d<a href=\"https:\/\/www.quora.com\/How-can-one-get-started-with-machine-learning-1\">Yoshua Bengio: How can one get started with machine learning?<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/ufldl.stanford.edu\/wiki\/index.php\/UFLDL_Recommended_Readings\">\u300aUFLDL Recommended Readings\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:UFLDL\u63a8\u8350\u7684\u6df1\u5ea6\u5b66\u4e60\u9605\u8bfb\u5217\u8868.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cse.buffalo.edu\/%7Ehungngo\/classes\/2015\/705\/\">\u300aCSE 705: Deep Learning (Spring 2015)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7ebd\u7ea6\u5dde\u7acb\u5927\u5b66\u5e03\u6cd5\u7f57\u5206\u68212015\u5e74\u6625\u5b63\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\u4e3b\u9875.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/Theano\/Theano\">\u300aTheano is a Deep learning Python library \u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Theano\u662f\u4e3b\u6d41\u7684\u6df1\u5ea6\u5b66\u4e60Python\u5e93\u4e4b\u4e00\uff0c\u4ea6\u652f\u6301GPU,\u5165\u95e8\u6bd4\u8f83\u96be.\u63a8\u8350<a href=\"https:\/\/github.com\/marekrei\/theano-tutorial\">Theano tutorial<\/a>,<a href=\"http:\/\/deeplearning.net\/software\/theano\/tutorial\/\">Document<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.fit.vutbr.cz\/%7Eimikolov\/rnnlm\/thesis.pdf\">\u300aStatistical Language Models Based On Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u535a\u58eb\u8bba\u6587:\u795e\u7ecf\u7f51\u7edc\u7edf\u8ba1\u8bed\u8a00\u6a21\u578b.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.infoq.com\/cn\/articles\/machine-learning-automatic-classification-of-text-data\">\u300a\u6587\u672c\u6570\u636e\u7684\u673a\u5668\u5b66\u4e60\u81ea\u52a8\u5206\u7c7b\u65b9\u6cd5(\u4e0a)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/www.infoq.com\/cn\/articles\/machine-learning-automatic-classification-of-text-data-part2\">\u6587\u672c\u6570\u636e\u7684\u673a\u5668\u5b66\u4e60\u81ea\u52a8\u5206\u7c7b\u65b9\u6cd5(\u4e0b)<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1601.06759\">\u300aPixel Recurrent Neural Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528RNN\u9884\u6d4b\u50cf\u7d20\uff0c\u53ef\u4ee5\u628a\u88ab\u906e\u6321\u7684\u56fe\u7247\u8865\u5145\u5b8c\u6574.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/Microsoft\/CNTK\">\u300aComputational Network Toolkit (CNTK)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5fae\u8f6f\u7814\u7a76\u9662\u628a\u5176\u6df1\u5ea6\u5b66\u4e60\u5de5\u5177\u5305CNTK,\u60f3\u8fdb\u4e00\u6b65\u4e86\u89e3\u548c\u5b66\u4e60CNTK\u7684\u540c\u5b66\u53ef\u4ee5\u770b\u524d\u51e0\u5929\u516c\u5e03\u7684\u300aCNTK\u767d\u76ae\u4e66\u300b<a href=\"http:\/\/research.microsoft.com\/pubs\/226641\/CNTKBook-20160121.pdf\">An Introduction to Computational Networks and the Computational Network Toolkit<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/rlabbe\/Kalman-and-Bayesian-Filters-in-Python\">\u300aKalman and Bayesian Filters in Python\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5361\u5c14\u66fc\u6ee4\u6ce2\u5668\u6559\u6750\uff0c\u7528\u5c3d\u91cf\u5c11\u7684\u6570\u5b66\u548c\u63a8\u5bfc\uff0c\u4f20\u6388\u76f4\u89c9\u548c\u7ecf\u9a8c\uff0c\u5168\u90e8Python\u793a\u4f8b\uff0c\u5185\u5bb9\u8986\u76d6\u5361\u5c14\u66fc\u6ee4\u6ce2\u5668\u3001\u6269\u5c55\u5361\u5c14\u66fc\u6ee4\u6ce2\uff0c\u65e0\u8ff9\u5361\u5c14\u66fc\u6ee4\u6ce2\u7b49\uff0c\u5305\u62ec\u7ec3\u4e60\u548c\u53c2\u8003\u7b54\u6848<\/p>\n<ul>\n<li><a href=\"https:\/\/leanpub.com\/LittleInferenceBook\">\u300aStatistical inference for data science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5728\u7ebf\u514d\u8d39\u4e66:\u9762\u5411\u6570\u636e\u79d1\u5b66\u7684\u7edf\u8ba1\u63a8\u65ad\uff0cR\u793a\u4f8b\u4ee3\u7801\uff0c\u5f88\u4e0d\u9519<a href=\"https:\/\/github.com\/bcaffo\/LittleInferenceBook\">GitHub<\/a>.<\/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:\u8fd9\u672c\u4e66\u662f\u7531Yoshua Bengio\u64b0\u5199\u7684\u6559\u7a0b,\u5176\u5185\u5bb9\u5305\u542b\u4e86\u5b66\u4e60\u4eba\u5de5\u667a\u80fd\u6240\u4f7f\u7528\u7684\u6df1\u5ea6\u5b66\u4e60\u67b6\u6784\u7684\u5b66\u4e60\u8d44\u6e90,\u4e66\u4e2d\u7684\u9879\u76ee<code>\u5df2\u505c\u6b62\u66f4\u65b0<\/code><a href=\"https:\/\/github.com\/rasmusbergpalm\/DeepLearnToolbox\">DeepLearnToolbox<\/a>.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ujjwalkarn\/Machine-Learning-Tutorials\">\u300aMachine Learning Tutorials\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u4e00\u4efd\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6559\u7a0b\uff0c\u6587\u7ae0\u548c\u8d44\u6e90\u7684\u6e05\u5355\u3002\u8fd9\u5f20\u6e05\u5355\u6839\u636e\u5404\u4e2a\u4e3b\u9898\u8fdb\u884c\u64b0\u5199\uff0c\u5305\u62ec\u4e86\u8bb8\u591a\u4e0e\u6df1\u5ea6\u5b66\u4e60\u6709\u5173\u7684\u7c7b\u522b\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u52a0\u5f3a\u5b66\u4e60\u4ee5\u53ca\u5404\u79cd\u67b6\u6784.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/donnemartin\/data-science-ipython-notebooks\">\u300aData science ipython notebooks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u7531Donne Martin\u7b56\u5212\u6536\u96c6\u7684IPython\u7b14\u8bb0\u672c\u3002\u8bdd\u9898\u6db5\u76d6\u5927\u6570\u636e\u3001Hadoop\u3001scikit-learn\u548c\u79d1\u5b66Python\u5806\u6808\u4ee5\u53ca\u5f88\u591a\u5176\u4ed6\u65b9\u9762\u7684\u5185\u5bb9\u3002 \u81f3\u4e8e\u6df1\u5ea6\u5b66\u4e60\uff0c\u50cf\u662fTensorFlow\u3001Theano\u548cCaffe\u4e4b\u7c7b\u7684\u6846\u67b6\u4e5f\u5747\u88ab\u6db5\u76d6\u5176\u4e2d\uff0c\u5f53\u7136\u8fd8\u6709\u76f8\u5173\u7684\u7279\u5b9a\u6784\u67b6\u548c\u6982\u5ff5\u7b49.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.deepdetect.com\/\">\u300aOpen Source Deep Learning Server\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5f00\u6e90\u7684\u6df1\u5ea6\u5b66\u4e60\u670d\u52a1,DeepDetect\u662fC++\u5b9e\u73b0\u7684\u57fa\u4e8e\u5916\u90e8\u673a\u5668\u5b66\u4e60\/\u6df1\u5ea6\u5b66\u4e60\u5e93\uff08\u76ee\u524d\u662fCaffe\uff09\u7684API\u3002\u7ed9\u51fa\u4e86\u56fe\u7247\u8bad\u7ec3\uff08ILSVRC\uff09\u548c\u6587\u672c\u8bad\u7ec3\uff08\u57fa\u4e8e\u5b57\u7684\u60c5\u611f\u5206\u6790\uff0cNIPS15\uff09\u7684\u6837\u4f8b\uff0c\u4ee5\u53ca\u6839\u636e\u56fe\u7247\u6807\u7b7e\u7d22\u5f15\u5230ElasticSearch\u4e2d<a href=\"https:\/\/github.com\/beniz\/deepdetect\">github<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdnuggets.com\/\">\u300aData Mining, Analytics, Big Data, and Data Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u8fd9\u662f\u56fd\u5916\u7684\u4e00\u4e2a\u79d1\u6280\u9891\u9053,\u6db5\u76d6\u4e86\u6570\u636e\u6316\u6398,\u5206\u6790\u4ee5\u53ca\u6570\u636e\u79d1\u5b66\u7c7b\u7684\u6587\u7ae0.\u5076\u5c14\u8fd8\u6709\u673a\u5668\u5b66\u4e60\u7cbe\u9009.<\/p>\n<ul>\n<li><a href=\"http:\/\/docs.salford-systems.com\/dm-stat.pdf\">\u300aData Mining And Statistics: What&#8217;s The Connection?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7ecf\u5178\u8bba\u6587:\u6570\u636e\u6316\u6398\u4e0e\u7edf\u8ba1\u5b66.<\/p>\n<ul>\n<li><a href=\"https:\/\/drive.google.com\/file\/d\/0BxKBnD5y2M8NVnBpbWVwYUpQTjg\/view\">\u300a(NIPS\u20192015 Tutorial)Yoshua Bengio\u6df1\u5ea6\u5b66\u4e60\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NIPS\u20192015 Tutorial by Yoshua Bengio.<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/NervanaSystems\/neon\">\u300a(NENO:Python based Deep Learning Framework\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Nervana Systems\u7684\u5f00\u6e90\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6neon\u53d1\u5e03.<\/p>\n<ul>\n<li><a href=\"http:\/\/matt.might.net\/articles\/books-papers-materials-for-graduate-students\/\">\u300a(Matt Might:Reading for graduate students\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u72b9\u4ed6\u5dde\u5927\u5b66Matt Might\u6559\u6388\u63a8\u8350\u7684\u7814\u7a76\u751f\u9605\u8bfb\u6e05\u5355.<\/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:\u5f00\u653e\u6570\u636e\u96c6.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.edx.org\/course\/introduction-probability-science-mitx-6-041x-1\">\u300aIntroduction to Probability &#8211; The Science of Uncertainty\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(edX)\u4e0d\u786e\u5b9a\u6027\u7684\u79d1\u5b66\u2014\u2014\u6982\u7387\u8bba\u5bfc\u8bba(MITx).<\/p>\n<ul>\n<li><a href=\"http:\/\/xrds.acm.org\/blog\/2016\/02\/r-software-and-tools-for-everyday-use\/\">\u300aR software and tools for everyday use\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R\u8bed\u8a00\u5f00\u53d1\u5e38\u7528\u8f6f\u4ef6\/\u5de5\u5177\u63a8\u8350.<\/p>\n<ul>\n<li><a href=\"http:\/\/yerevann.github.io\/\/2016\/02\/05\/implementing-dynamic-memory-networks\/\">\u300aImplementing Dynamic memory networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u52a8\u6001\u8bb0\u5fc6\u7f51\u7edc\u5b9e\u73b0.<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning4j.org\/zh-index.html\/\">\u300aDeeplearning4j \u4e2d\u6587\u4e3b\u9875\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u82f1\u6587<a href=\"http:\/\/deeplearning4j.org\">\u4e3b\u9875<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.ngdata.com\/big-data-analysis-resources\/\">\u300aBig Data Analysis Learning Resources: 50 Courses, Blogs, Tutorials, And More For Mastering Big Data Analytics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:50\u4e2a\u5927\u6570\u636e\u5206\u6790\u6700\u4f73\u5b66\u4e60\u8d44\u6e90(\u8bfe\u7a0b\u3001\u535a\u5ba2\u3001\u6559\u7a0b\u7b49)<\/p>\n<ul>\n<li><a href=\"http:\/\/timdettmers.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,<a href=\"http:\/\/www.almosthuman.cn\/2016\/02\/04\/bqrzz\/\">\u8bd1\u6587<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/KaimingHe\/deep-residual-networks\">\u300aDeep Residual Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:kaiming\u5f00\u6e90\u4f5c\u54c1<\/p>\n<ul>\n<li><a href=\"https:\/\/blog.monkeylearn.com\/the-definitive-guide-to-natural-language-processing\/\">\u300aThe Definitive Guide to Natural Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u81ea\u7136\u8bed\u8a00\u5904\u7406(NLP)\u6743\u5a01\u6307\u5357<\/p>\n<ul>\n<li><a href=\"https:\/\/blog.twitter.com\/2015\/evaluating-language-identification-performance\">\u300aEvaluating language identification performance\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5982\u4f55\u5728\u793e\u4f1a\u5a92\u4f53\u4e0a\u505a\u8bed\u8a00\u68c0\u6d4b\uff1f\u6ca1\u6709\u6570\u636e\u600e\u4e48\u529e\uff1f\u63a8\u7279\u5b98\u65b9\u516c\u5e03\u4e86\u4e00\u4e2a\u5341\u5206\u96be\u5f97\u7684\u6570\u636e\u96c6\uff1a12\u4e07\u6807\u6ce8\u8fc7\u7684Tweets\uff0c\u670970\u79cd\u8bed\u8a00<\/p>\n<ul>\n<li><a href=\"http:\/\/www.iclr.cc\/doku.php?id=iclr2016:main&amp;#accepted_papers_conference_track\">\u300aICLR 2016 Accepted Papers\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u548c\u673a\u5668\u5b66\u4e60\u91cd\u8981\u4f1a\u8baeICLR 2016\u5f55\u53d6\u6587\u7ae0<\/p>\n<ul>\n<li><a href=\"http:\/\/www.innoarchitech.com\/machine-learning-an-in-depth-non-technical-guide\/\">\u300aMachine Learning: An In-Depth, Non-Technical Guide &#8211; Part 1\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u2014\u2014\u6df1\u5ea6\u975e\u6280\u672f\u6307\u5357<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.hubspot.com\/marketing\/toolbox-for-data-storytelling\">\u300aData Storytelling 101: Helpful Tools for Gathering Ideas, Designing Content &amp; More\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6570\u636e\u53d9\u4e8b\u5165\u95e8\u6307\u5357\u2014\u2014\u521b\u610f\u751f\u6210\/\u6570\u636e\u91c7\u96c6\/\u5185\u5bb9\u8bbe\u8ba1\u76f8\u5173\u8d44\u6e90\u63a8\u8350<\/p>\n<ul>\n<li><a href=\"http:\/\/nlp.stanford.edu\/blog\/wikitablequestions-a-complex-real-world-question-understanding-dataset\/\">\u300aWikiTableQuestions: a Complex Real-World Question Understanding Dataset\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:WikiTableQuestions\u2014\u2014\u590d\u6742\u771f\u5b9e\u95ee\u7b54\u6570\u636e\u96c6<\/p>\n<ul>\n<li><a href=\"http:\/\/www.forbes.com\/sites\/bernardmarr\/2016\/02\/12\/big-data-35-brilliant-and-free-data-sources-for-2016\/#64ede4f16796\">\u300aBig Data: 35 Brilliant And Free Data Sources For 2016\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:(2016\u7248)35\u4e2a\u8d85\u68d2\u7684\u514d\u8d39\u5927\u6570\u636e\u6e90<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/pdf\/1511.06051v3.pdf\">\u300aSPARKNET: training deep networks in spark\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Ion Stoica\u548c Michael I. Jordan\u4e24\u4f4d\u5927\u5bb6\u9996\u6b21\u8054\u624b\u53d1\u6587\uff0cCAFFE\u548cSPARK\u5b8c\u7f8e\u7ed3\u5408\uff0c\u5206\u5e03\u5f0f\u6df1\u5ea6\u5b66\u4e60\u6df7\u642d\u6a21\u5f0f\uff01<a href=\"https:\/\/github.com\/amplab\/SparkNet\">github<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/memkite.com\/deep-learning-bibliography\/\">\u300aDeepLearning.University \u2013 An Annotated Deep Learning Bibliography | Memkite\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60(\u5206\u7c7b)\u6587\u732e\u96c6<\/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:\u6df1\u5ea6\u5b66\u4e60\u9605\u8bfb\u5217\u8868<\/p>\n<ul>\n<li><a href=\"http:\/\/awesome42.com\/\">\u300aAwesome42 The easiest way to find R packages\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u63a2\u7d22R\u5305\u7684\u597d\u7f51\u7ad9Awesome 42<\/p>\n<ul>\n<li><a href=\"http:\/\/mlbase.org\/\">\u300aMLbase:Distributed Machine Learning Made Easy\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:MLbase\u662f<a href=\"http:\/\/cs.brown.edu\/%7Ekraskat\/\">Prof. Dr. Tim Kraska<\/a>\u7684\u4e00\u4e2a\u7814\u7a76\u9879\u76ee\uff0cMLbase\u662f\u4e00\u4e2a\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60\u7ba1\u7406\u7cfb\u7edf<\/p>\n<ul>\n<li><a href=\"http:\/\/www.comp.nus.edu.sg\/%7Eooibc\/singa-tomm.pdf\">\u300aDeep Learning At Scale and At Ease\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5206\u5e03\u5f0f\u6df1\u5ea6\u5b66\u4e60\u5e73\u53f0<a href=\"http:\/\/singa.incubator.apache.org\/index.html\">SINGA<\/a>\u4ecb\u7ecd<\/p>\n<ul>\n<li><a href=\"http:\/\/datasciencereport.com\/2016\/02\/19\/apache-spark\/\">\u300aLearn All About Apache Spark (100x Faster than Hadoop MapReduce)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Spark\u89c6\u9891\u96c6\u9526<\/p>\n<ul>\n<li><a href=\"http:\/\/www.parallelr.com\/r-deep-neural-network-from-scratch\/\">\u300aR For Deep Learning (I): Build Fully Connected Neural Network From Scratch\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:R\u8bed\u8a00\u6df1\u5ea6\u5b66\u4e60\u7b2c\u4e00\u8282:\u4ece\u96f6\u5f00\u59cb<\/p>\n<ul>\n<li><a href=\"http:\/\/www.r2d3.us\/visual-intro-to-machine-learning-part-1\/\">\u300aA Visual Introduction to Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u56fe\u89e3\u673a\u5668\u5b66\u4e60<\/p>\n<ul>\n<li><a href=\"http:\/\/aminer.org\/citation\">\u300aCitation Network Dataset\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:AMiner\u8bba\u6587\u5f15\u7528\u6570\u636e\u96c6(v7:2,244,021 papers and 4,354,534 citation relationships)<\/p>\n<ul>\n<li><a href=\"https:\/\/www.reddit.com\/r\/MachineLearning\/comments\/47ast8\/best_free_machine_learning_ebooks\/\">\u300aBest Free Machine Learning Ebooks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:10\u672c\u6700\u4f73\u673a\u5668\u5b66\u4e60\u514d\u8d39\u4e66<\/p>\n<ul>\n<li><a href=\"http:\/\/videolectures.net\/iccv2015_santiago\/\">\u300aInternational Conference on Computer Vision (ICCV) 2015, Santiago\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:ICCV15\u89c6\u9891\u96c6<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/yahoo\/CaffeOnSpark\">\u300aCaffeOnSpark Open Sourced for Distributed Deep Learning on Big Data Clusters\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd::(Yahoo)\u57fa\u4e8eHadoop\/Spark\u7684\u5206\u5e03\u5f0fCaffe\u5b9e\u73b0CaffeOnSpark<\/p>\n<ul>\n<li><a href=\"http:\/\/research.microsoft.com\/en-us\/people\/hangli\/l2r.pdf\">\u300aA Short Introduction to Learning to Rank\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Learning to Rank\u7b80\u4ecb<\/p>\n<ul>\n<li><a href=\"https:\/\/aminer.org\/search\/t=b&amp;q=Deep%20Learning\">\u300aGlobal Deep learning researcher\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5168\u7403\u6df1\u5ea6\u5b66\u4e60\u4e13\u5bb6\u5217\u8868,\u6db5\u76d6\u7814\u7a76\u8005\u4e3b\u9875<\/p>\n<ul>\n<li><a href=\"http:\/\/www.kdnuggets.com\/2016\/03\/top-spark-ecosystem-projects.html\">\u300aTop Spark Ecosystem Projects\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/www.infoq.com\/cn\/news\/2016\/03\/spark-eco-project\">Spark\u751f\u6001\u9876\u7ea7\u9879\u76ee\u6c47\u603b<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2856767&amp;preflayout=flat\">\u300aProceedings of the 21st International Conference on Intelligent User Interfaces\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/iui.acm.org\/2016\/\">ACM IUI&#8217;16<\/a>\u8bba\u6587\u96c6<a href=\"http:\/\/halley.exp.sis.pitt.edu\/cn3\/proceedingswithauthors.php?conferenceID=139\">Conference Navigator &#8211; Proceedings<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.innoarchitech.com\/machine-learning-an-in-depth-non-technical-guide\/\">\u300aMachine Learning: An In-Depth, Non-Technical Guide &#8211; Part 1\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5165\u673a\u5668\u5b66\u4e60,<a href=\"http:\/\/www.innoarchitech.com\/machine-learning-an-in-depth-non-technical-guide-part-2\/\">2<\/a>,<a href=\"http:\/\/www.innoarchitech.com\/machine-learning-an-in-depth-non-technical-guide-part-3\/\">3<\/a>,<a href=\"http:\/\/www.innoarchitech.com\/machine-learning-an-in-depth-non-technical-guide-part-4\/\">4<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.computervisiontalks.com\/tag\/deep-learning-course\/\">\u300aOxford Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"https:\/\/www.cs.ox.ac.uk\/people\/nando.defreitas\/\">Nando de Freitas<\/a>\u5728 Oxford \u5f00\u8bbe\u7684\u6df1\u5ea6\u5b66\u4e60\u8bfe\u7a0b,<a href=\"https:\/\/www.youtube.com\/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu\">\u8bfe\u7a0byoutube\u5730\u5740<\/a>,Google DeepMind\u7684\u7814\u7a76\u79d1\u5b66\u5bb6,\u6b64\u5916<a href=\"http:\/\/www.computervisiontalks.com\/\">\u9996\u9875:computervisiontalks<\/a>\u7684\u5185\u5bb9\u4e5f\u5f88\u4e30\u5bcc,\u5982\u679c\u4f60\u662f\u505a\u673a\u5668\u89c6\u89c9\u65b9\u9762\u7684\u7814\u7a76,\u63a8\u8350\u4e5f\u770b\u770b\u5176\u4ed6\u5185\u5bb9.\u80af\u5b9a\u6536\u83b7\u4e5f\u4e0d\u5c0f.\u8fd8\u6709,\u8fd9\u4f4d<a href=\"https:\/\/www.youtube.com\/channel\/UC0z_jCi0XWqI8awUuQRFnyw\">youtube\u4e3b\u9875<\/a>\u9876\u8fc7\u7684\u89c6\u9891\u4e5f\u5f88\u6709\u4efd\u91cf<\/p>\n<ul>\n<li><a href=\"https:\/\/www.coursera.org\/course\/neuralnets\">\u300aNeural Networks for Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Geoffrey Hinton\u5728Coursera\u5f00\u8bbe\u7684MOOC<\/p>\n<ul>\n<li><a href=\"http:\/\/news.startup.ml\/\">\u300aDeep Learning News\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684Hacker news.\u7d27\u8ddf\u6df1\u5ea6\u5b66\u4e60\u7684\u65b0\u95fb\u3001\u7814\u7a76\u8fdb\u5c55\u548c\u76f8\u5173\u7684\u521b\u4e1a\u9879\u76ee\u3002\u4ece\u4e8b\u673a\u5668\u5b66\u4e60,\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u670b\u53cb\u5efa\u8bae\u6bcf\u5929\u770b\u4e00\u770b<\/p>\n<ul>\n<li><a href=\"http:\/\/jmlr.org\/proceedings\/papers\/v28\/goodfellow13.pdf\">\u300aMaxout Networks\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Maxout\u7f51\u7edc\u5256\u6790<\/p>\n<ul>\n<li><a href=\"http:\/\/papers.nips.cc\/\">\u300aAdvances in Neural Information Processing Systems\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:NIPS\u9886\u57df\u7684\u4f1a\u8baepaper\u96c6\u9526<\/p>\n<ul>\n<li><a href=\"http:\/\/www.nature.com\/nrg\/journal\/v16\/n6\/abs\/nrg3920.html\">\u300aMachine learning applications in genetics and genomics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u673a\u5668\u5b66\u4e60\u5728\u751f\u7269\u5de5\u7a0b\u9886\u57df\u7684\u5e94\u7528,\u5982\u679c\u4f60\u4ece\u4e8b\u751f\u7269\u5de5\u7a0b\u9886\u57df,\u53ef\u4ee5\u5148\u9605\u8bfb\u4e00\u7bc7\u6587\u7ae0<a href=\"https:\/\/www.zhihu.com\/question\/41428117\/answer\/91045285\">\u8be6\u7ec6\u4ecb\u7ecd<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1603.06430\">\u300aDeep Learning in Bioinformatics\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u6df1\u5ea6\u5b66\u4e60\u5728\u751f\u7269\u4fe1\u606f\u5b66\u9886\u57df\u7684\u5e94\u7528<\/p>\n<ul>\n<li><a href=\"https:\/\/homes.cs.washington.edu\/%7Epedrod\/papers\/cacm12.pdf\">\u300aA Few Useful Things to Know about Machine Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u4e00\u4e9b\u5173\u4e8e\u673a\u5668\u5b66\u4e60\u9700\u8981\u77e5\u9053\u77e5\u8bc6,\u5bf9\u4e8e\u521a\u521a\u5165\u95e8\u673a\u5668\u5b66\u4e60\u7684\u540c\u5b66\u5e94\u8be5\u8bfb\u4e00\u8bfb<\/p>\n<ul>\n<li><a href=\"http:\/\/mlg.eng.cam.ac.uk\/\">\u300aCambridge Machine Learning Group\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5251\u6865\u5927\u5b66\u673a\u5668\u5b66\u4e60\u7528\u6237\u7ec4\u4e3b\u9875,\u7f51\u7f57\u4e86\u5251\u6865\u5927\u5b66\u4e00\u4e9b\u673a\u5668\u5b66\u4e60\u9886\u57df\u4e13\u5bb6\u4e0e\u65b0\u95fb<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/rhiever\/Data-Analysis-and-Machine-Learning-Projects\">\u300aRandy Olson&#8217;s data analysis and machine learning projects\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:<a href=\"http:\/\/www.randalolson.com\/blog\/\">Randy Olson&#8217;s<\/a>\u7684\u4e00\u4e9b\u6570\u636e\u5206\u6790\u4e0e\u673a\u5668\u5b66\u4e60\u9879\u76ee\u5e93,\u662f\u5b66\u4e60\u5b9e\u8df5\u7684\u597d\u6750\u6599<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/sjwhitworth\/golearn\">\u300aGoLearn:Golang machine learning library\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:Golang\u673a\u5668\u5b66\u4e60\u5e93,\u7b80\u5355,\u6613\u6269\u5c55<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/collinhundley\/Swift-AI\">\u300aSwift Ai\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u7528Swift\u5f00\u53d1\u82f9\u679c\u5e94\u7528\u7684\u5012\u662f\u5f88\u591a\uff0c\u800c\u7528\u6765\u505a\u673a\u5668\u5b66\u4e60\u7684\u5c31\u6bd4\u8f83\u5c11\u4e86.Swift Ai\u5728\u8fd9\u65b9\u9762\u505a\u4e86\u5f88\u591a\u805a\u96c6.\u53ef\u4ee5\u770b\u770b<\/p>\n<ul>\n<li><a href=\"https:\/\/www.reddit.com\/r\/MachineLearning\/comments\/15zrpp\/please_explain_support_vector_machines_svm_like_i\/\">\u300aPlease explain Support Vector Machines (SVM) like I am a 5 year old\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u5982\u4f55\u5411\u4e00\u4f4d5\u5c81\u7684\u5c0f\u670b\u53cb\u89e3\u91ca\u652f\u6301\u5411\u91cf\u673a(SVM)<\/p>\n<ul>\n<li><a href=\"https:\/\/www.reddit.com\/r\/MachineLearning\/\">\u300areddit Machine learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: reddit\u7684\u673a\u5668\u5b66\u4e60\u680f\u76ee<\/p>\n<ul>\n<li><a href=\"http:\/\/blog.csdn.net\/carson2005\/article\/details\/6601109\">\u300aComputerVision resource\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u4e00\u4e9b\u725b\u4eba\u535a\u5ba2\uff0c\u8d85\u6709\u5b9e\u529b\u7684\u7814\u7a76\u673a\u6784\u7b49\u7684\u7f51\u7ad9\u94fe\u63a5.\u505a\u8ba1\u7b97\u673a\u89c6\u89c9\u65b9\u5411\u7684\u670b\u53cb\u5efa\u8bae\u591a\u5173\u6ce8\u91cc\u9762\u7684\u8d44\u6e90<\/p>\n<ul>\n<li><a href=\"http:\/\/mmlab.ie.cuhk.edu.hk\/index.html\">\u300aMultimedia Laboratory Homepage\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd:\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\u6df1\u5ea6\u5b66\u4e60\u7814\u7a76\u4e3b\u9875,\u6b64\u5916\u7814\u7a76\u5c0f\u7ec4\u5bf9<a href=\"http:\/\/mmlab.ie.cuhk.edu.hk\/project_deep_learning.html\">2013\u5e74deep learning \u7684\u6700\u65b0\u8fdb\u5c55\u548c\u76f8\u5173\u8bba\u6587<\/a>\u505a\u4e86\u6574\u7406,\u5176\u4e2duseful links\u7684\u5185\u5bb9\u5f88\u53d7\u76ca<\/p>\n<ul>\n<li><a href=\"http:\/\/www.anneschuth.nl\/wp-content\/uploads\/thesis_anne-schuth_search-engines-that-learn-from-their-users.pdf\">\u300aSearch Engines that Learn from Their Users\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8fd9\u662f\u4e00\u7bc7\u5173\u4e8e\u641c\u7d22\u5f15\u64ce\u7684\u535a\u58eb\u8bba\u6587,\u5bf9\u73b0\u5728\u666e\u904d\u4f7f\u7528\u7684\u641c\u7d22\u5f15\u64cegoogle\uff0cbing\u7b49\u505a\u4e86\u5206\u6790.\u5bf9\u4e8e\u505a\u641c\u7d22\u7c7b\u4ea7\u54c1\u7684\u5f88\u6709\u6280\u672f\u53c2\u8003\u4ef7\u503c<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/deep-learning-books\/\">\u300aDeep Learning Books\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6df1\u5ea6\u5b66\u4e60\u4e66\u7c4d\u63a8\u8350(\u6bd5\u7adf\u8fd9\u7c7b\u4e66\u6bd4\u8f83\u5c11).<\/p>\n<ul>\n<li><a href=\"http:\/\/machinelearningmastery.com\/deep-learning-books\/\">\u300aDeep Learning Books\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6df1\u5ea6\u5b66\u4e60\u4e66\u7c4d\u63a8\u8350(\u6bd5\u7adf\u8fd9\u7c7b\u4e66\u6bd4\u8f83\u5c11).<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1604.01662\">\u300aTowards Bayesian Deep Learning: A Survey\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8d1d\u53f6\u65af\u5b9a\u7406\u5728\u6df1\u5ea6\u5b66\u4e60\u65b9\u9762\u7684\u7814\u7a76\u8bba\u6587.<\/p>\n<ul>\n<li><a href=\"http:\/\/arxiv.org\/abs\/1604.00981\">\u300aRevisiting Distributed Synchronous SGD\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6765\u81ea\u8c37\u6b4c\u5927\u8111\u7684\u91cd\u6e29\u5206\u5e03\u5f0f\u68af\u5ea6\u4e0b\u964d.\u540c\u65f6\u63a8\u8350<a href=\"http:\/\/wxwidget.github.io\/blog\/2014\/08\/17\/large-scale-deep-network\/\">\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u6df1\u5ea6\u7f51\u7edc<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.102.6931&amp;rep=rep1&amp;type=pdf\">\u300aResearch Issues in Social Computing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u793e\u4ea4\u8ba1\u7b97\u7814\u7a76\u76f8\u5173\u95ee\u9898\u7efc\u8ff0.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.quora.com\/What-are-some-important-areas-of-research-in-social-computing-right-now\">\u300aWhat are some important areas of research in social computing right now?\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u793e\u4ea4\u8ba1\u7b97\u5e94\u7528\u9886\u57df\u6982\u89c8,\u91cc\u9762\u6709\u4e9b\u7ecf\u5178\u8bba\u6587\u63a8\u8350<\/p>\n<ul>\n<li><a href=\"http:\/\/files.grouplens.org\/papers\/FnT%20CF%20Recsys%20Survey.pdf\">\u300aCollaborative Filtering Recommender Systems\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u534f\u540c\u8fc7\u6ee4\u5728\u63a8\u8350\u7cfb\u7edf\u5e94\u7528.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.utexas.edu\/%7Eml\/papers\/cbcf-aaai-02.pdf\">\u300aContent-Boosted Collaborative Filtering for Improved Recommendations\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u534f\u540c\u8fc7\u6ee4\u5728\u5185\u5bb9\u63a8\u8350\u7684\u7814\u7a76.<\/p>\n<ul>\n<li><a href=\"http:\/\/siplab.tudelft.nl\/sites\/default\/files\/sigir06_similarityfusion.pdf\">\u300aUnifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u534f\u540c\u8fc7\u6ee4\u7ecf\u5178\u8bba\u6587.<\/p>\n<ul>\n<li><a href=\"http:\/\/glaros.dtc.umn.edu\/gkhome\/fetch\/papers\/www10_sarwar.pdf\">\u300aItem-based Collaborative Filtering Recommendation Algorithms\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u534f\u540c\u8fc7\u6ee4\u7b97\u6cd5.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cin.ufpe.br\/%7Eidal\/rs\/Amazon-Recommendations.pdf\">\u300aAmazon.com Recommendations Item-to-Item Collaborative Filtering\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4e9a\u9a6c\u900a\u5bf9\u4e8e\u534f\u540c\u8fc7\u6ee4\u7b97\u6cd5\u5e94\u7528.<\/p>\n<ul>\n<li><a href=\"http:\/\/yifanhu.net\/PUB\/cf.pdf\">\u300aCollaborative Filtering for Implicit Feedback Datasets\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u534f\u540c\u8fc7\u6ee4\u7684\u9690\u5f0f\u53cd\u9988\u6570\u636e\u96c6\u5904\u7406.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.iquilezles.org\/www\/index.htm\">\u300aTutorials, papers and code for computer graphics, fractals and demoscene\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8ba1\u7b97\u673a\u56fe\u5f62\uff0c\u51e0\u4f55\u7b49\u8bba\u6587\uff0c\u6559\u7a0b\uff0c\u4ee3\u7801.\u505a\u8ba1\u7b97\u673a\u56fe\u5f62\u7684\u63a8\u8350\u6536\u85cf.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.columbia.edu\/%7Ejw2966\/6886_Fa2015.html\">\u300aELEN 6886 Sparse Representation and High-Dimensional Geometry\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u63a8\u8350\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66\u8bfe\u7a0b\uff0c\u7a00\u758f\u8868\u793a\u548c\u9ad8\u7ef4\u51e0\u4f55.12\u5e74\u7531Elsevier\u300113\u5e74\u81f3\u4eca\u7531PAMI(\u4ecd\u7531Elsevier\u8d5e\u52a9)\u8bbe\u7acb\u7684\u9752\u5e74\u7814\u7a76\u8005\u5956 (Young Researcher Award)\u6388\u4e88\u5b8c\u6210\u535a\u58eb\u5b66\u4f4d\u540e\u4e03\u5e74\u5185\u53d6\u5f97\u6770\u51fa\u8d21\u732e\u7684\uff1b\u7531CV\u793e\u533a\u63d0\u540d\uff0c\u5728CVPR\u4f1a\u8bae\u4e0a\u5ba3\u5e03\u30022015\u5e74\u5f97\u4e3b\u662f\u54e5\u5927\u52a9\u7406\u6559\u6388John Wright\uff0c09\u5e74<a href=\"http:\/\/www.columbia.edu\/%7Ejw2966\/papers\/WYGSM09-PAMI.pdf\">\u300a\u5065\u58ee\u4eba\u8138\u8bc6\u522b\u7684\u7a00\u758f\u8868\u793a\u6cd5\u300b<\/a>\u5f15\u7528\u5df2\u8d855K.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.quora.com\/What-would-be-your-advice-to-a-software-engineer-who-wants-to-learn-machine-learning-3\/answer\/Alex-Smola-1\">\u300aSoftware engineer how to learning Machine learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: CMU\u673a\u5668\u5b66\u4e60\u7cfb\u8457\u540d\u6559\u6388Alex Smola\u5728Quora\u5bf9\u4e8e\u300a\u7a0b\u5e8f\u5458\u5982\u4f55\u5b66\u4e60Machine Learning\u300b\u7684\u5efa\u8bae\uff1aAlex\u63a8\u8350\u4e86\u4e0d\u5c11\u5173\u4e8e\u7ebf\u6027\u4ee3\u6570\u3001\u4f18\u5316\u3001\u7cfb\u7edf\u3001\u548c\u7edf\u8ba1\u9886\u57df\u7684\u7ecf\u5178\u6559\u6750\u548c\u8d44\u6599.<\/p>\n<ul>\n<li><a href=\"http:\/\/www.opengardensblog.futuretext.com\/archives\/2015\/08\/book-review-fundamentals-of-deep-learning-designing-next-generation-artificial-intelligence-algorithms-by-nikhil-buduma.html\">\u300aBook review: Fundamentals of Deep Learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u4e66\u7c4d\u63a8\u8350,\u6df1\u5ea6\u5b66\u4e60\u57fa\u7840.<a href=\"https:\/\/github.com\/darksigma\/Fundamentals-of-Deep-Learning-Book\">\u6e90\u7801<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/learnbigcode.github.io\/\">\u300aLearning from Big Code\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u8f6f\u4ef6\u5de5\u7a0b\u9886\u57df\u73b0\u5728\u4e5f\u5bf9\u673a\u5668\u5b66\u4e60\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5f88\u611f\u5174\u8da3\uff0c\u6709\u4eba\u63a8\u51fa\u4e86\u201c\u5927\u4ee3\u7801\u201d\u7684\u6982\u5ff5\uff0c\u5206\u4eab\u4e86\u4e0d\u5c11\u4ee3\u7801\u96c6\u5408\uff0c\u5e76\u4e14\u89c9\u5f97ML\u53ef\u4ee5\u7528\u5728\u9884\u6d4b\u4ee3\u7801Bug\uff0c\u9884\u6d4b\u8f6f\u4ef6\u884c\u4e3a\uff0c\u81ea\u52a8\u5199\u65b0\u4ee3\u7801\u7b49\u4efb\u52a1\u4e0a\u3002\u5927\u4ee3\u7801\u6570\u636e\u96c6\u4e0b\u8f7d<\/p>\n<ul>\n<li><a href=\"http:\/\/handong1587.github.io\/deep_learning\/2015\/10\/09\/object-detection.html\">\u300aObject Detection\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6df1\u5ea6\u5b66\u4e60\u8fdb\u884c\u76ee\u6807\u8bc6\u522b\u7684\u8d44\u6e90\u5217\u8868\uff1a\u5305\u62ecRNN\u3001MultiBox\u3001SPP-Net\u3001DeepID-Net\u3001Fast R-CNN\u3001DeepBox\u3001MR-CNN\u3001Faster R-CNN\u3001YOLO\u3001DenseBox\u3001SSD\u3001Inside-Outside Net\u3001G-CNN<\/p>\n<ul>\n<li><a href=\"https:\/\/www.facebook.com\/yann.lecun\/posts\/10153505343037143\">\u300aDeep Learning: Course by Yann LeCun at Coll\u00e8ge de France 2016(Slides in English)\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Yann LeCun 2016\u6df1\u5ea6\u5b66\u4e60\u8bfe\u7a0b\u7684\u5e7b\u706f\u7247\uff08Deep Learning Course by Yann LeCun at Coll\u00e8ge de France 2016\uff09<a href=\"http:\/\/pan.baidu.com\/s\/1jIIrljg\">\u767e\u5ea6\u4e91<\/a>\u5bc6\u7801: cwsm <a href=\"https:\/\/drive.google.com\/folderview?id=0BxKBnD5y2M8NclFWSXNxa0JlZTg&amp;usp=sharing\">\u539f\u5730\u5740<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/hci.stanford.edu\/\">\u300aStanford HCI Group\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u65af\u5766\u798f\u4eba\u673a\u4ea4\u4e92\u7ec4\u4e94\u7bc7CHI16\u6587\u7ae0\u30021.\u4f17\u5305\u6fc0\u52b1\u673a\u5236\u7684\u884c\u4e3a\u7ecf\u6d4e\u5b66\u7814\u7a76\uff1a\u6279\u91cf\u7ed3\u7b97\u6bd4\u5355\u4efb\u52a1\u7684\u5b8c\u6210\u7387\u9ad8\u30022.\u5728\u4f17\u5305\u4e13\u5bb6\u548c\u65b0\u624b\u95f4\u5efa\u7acb\u8054\u7cfb\uff1a\u5fae\u5b9e\u4e60\u30023.\u8bcd \u5d4c\u5165\u7ed3\u5408\u4f17\u5305\u9a8c\u8bc1\u7684\u8bcd\u6c47\u4e3b\u9898\u5206\u7c7b\uff08\u5982\u732b\u3001\u72d7\u5c5e\u4e8e\u5ba0\u7269\uff09\u30024.\u8bcd\u5d4c\u5165\u7ed3\u5408\u76ee\u6807\u8bc6\u522b\u7684\u6d3b\u52a8\u9884\u6d4b\u30025.\u9f13\u52b1\u51fa\u9519\u4ee5\u52a0\u5feb\u4f17\u5305\u901f\u5ea6\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/nborwankar\/LearnDataScience\">\u300aLearn Data Science\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u81ea\u5b66\u6570\u636e\u79d1\u5b66<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=L8Y2_Cq2X5s\">\u300aCS224D Lecture 7 &#8211; Introduction to TensorFlow\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u672c\u8bfe\u662f<a href=\"http:\/\/cs224d.stanford.edu\/\">CS224D<\/a>\u4e00\u8282\u4ecb\u7ecdTensorFlow\u8bfe\u7a0b\uff0c<a href=\"http:\/\/cs224d.stanford.edu\/lectures\/CS224d-Lecture7.pdf\">ppt<\/a>,<a href=\"http:\/\/nbviewer.jupyter.org\/github\/tensorflow\/tensorflow\/blob\/master\/tensorflow\/examples\/tutorials\/deepdream\/deepdream.ipynb\">DeepDreaming with TensorFlow<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/autumnai.com\/leaf\/book\/leaf.html\">\u300aLeaf &#8211; Machine Learning for Hackers\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: Leaf\u662f\u4e00\u6b3e\u673a\u5668\u5b66\u4e60\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u4e13\u4e3a\u9ed1\u5ba2\u6253\u9020\uff0c\u800c\u975e\u4e3a\u79d1\u5b66\u5bb6\u800c\u4f5c\u3002\u5b83\u7528Rust\u5f00\u53d1\uff0c\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\uff0c\u73b0\u4eca\u7684\u6df1\u5ea6\u5b66\u4e60\u901a\u5403\u3002<a href=\"https:\/\/github.com\/autumnai\/leaf\">Leaf<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/on-demand.gputechconf.com\/gtc\/2016\/video\/S6853.html\">\u300aMXnet:Flexible and Efficient library for deep learning\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: <a href=\"http:\/\/on-demand-gtc.gputechconf.com\/gtcnew\/on-demand-gtc.php\">GTC 2016<\/a>\u89c6\u9891\uff0cMXnet\u7684\u624b\u628a\u624b\u6df1\u5ea6\u5b66\u4e60tutorial,\u76f8\u5173\u53c2\u8003\u8d44\u6599<a href=\"https:\/\/github.com\/dmlc\/mxnet-gtc-tutorial\">MXNet Tutorial for NVidia GTC 2016.<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/gym.openai.com\/\">\u300aOpenAI Gym: Toolkit for developing, comparing reinforcement learning algorithms\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: OpenAI Gym\uff1a\u5f00\u53d1\u3001\u6bd4\u8f83\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\u5de5\u5177\u7bb1<\/p>\n<ul>\n<li><a href=\"https:\/\/tensortalk.com\/?cat=conference-iclr-2016\">\u300aconference-iclr-2016 Papers and Code\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u673a\u5668\u5b66\u4e60\u4f1a\u8baeICLR 2016 \u8bba\u6587\u7684\u4ee3\u7801\u96c6\u5408<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/JimmyLin192\/GraphicalModel\/blob\/master\/Probabilistic%20Graphical%20Models%20Principles%20and%20Techniques.pdf\">\u300aprobabilistic graphical models principles and techniques\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6b64\u4e66\u662f\u65af\u5766\u798f\u5927\u5b66\u6982\u7387\u56fe\u6a21\u578b\u5927\u725bDaphne Koller\u6240\u5199\uff0c\u4e3b\u8981\u6d89\u53ca\u7684\u662f\u8d1d\u53f6\u65af\u7f51\u7edc\u548c\u9a6c\u5c14\u79d1\u592b\u903b\u8f91\u7f51\u7edc\u7684learning\u548cinference\u95ee\u9898\uff0c\u540c\u65f6\u53c8\u5bf9PGM\u6709\u6df1\u523b\u7684\u7406\u8bba\u89e3\u91ca\uff0c\u662f\u5b66\u4e60\u6982\u7387\u56fe\u6a21\u578b\u5fc5\u770b\u7684\u4e66\u7c4d\u3002\u96be\u5ea6\u4e2d\u4e0a\uff0c\u9002\u5408\u6709\u4e00\u4e9bML\u57fa\u7840\u7684\u7814\u7a76\u751f.<a href=\"https:\/\/vk.com\/doc168073_304660839?hash=39a33dd8aa6b141d8a&amp;dl=b667454bc650f66cc0\">\u5907\u4efd\u5730\u5740<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/www.inference.phy.cam.ac.uk\/itprnn\/book.html\">\u300aInformation Theory, Inference, and Learning Algorithms\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u6b64\u4e66\u662f\u5251\u6865\u5927\u5b66\u8457\u540d\u4fe1\u606f\u8bba\u4e13\u5bb6David MacKay\u6240\u5199\uff0c\u51fa\u53d1\u89d2\u5ea6\u4e0e\u5f88\u591a\u673a\u5668\u5b66\u4e60\u7684\u4e66\u7c4d\u90fd\u4e0d\u4e00\u6837\uff0cinference\u548cMCMC\u90a3\u7ae0\u5199\u7684\u6700\u597d\uff0c\u96be\u5ea6\u4e2d\u3002\u9002\u5408\u7814\u7a76\u751f\u548c\u672c\u79d1\u751f\u3002<\/p>\n<ul>\n<li><a href=\"http:\/\/stanford.edu\/%7Eboyd\/cvxbook\/\">\u300aConvex Optimization \u2013 Boyd and Vandenberghe\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u975e\u5e38\u597d\u7684Convex Optimization\u6559\u6750\uff0c\u8986\u76d6\u4e86\u5404\u79cdconstrained\u548cunconstrained optimization\u65b9\u6cd5\uff0c\u4ecb\u7ecd\u4e86convex\u4f18\u5316\u7684\u57fa\u672c\u6982\u5ff5\u548c\u7406\u8bba\u3002\u96be\u5ea6\u4e2d\uff0c\u9002\u5408\u5bf9\u4f18\u5316\u548c\u673a\u5668\u5b66\u4e60\u6709\u4e00\u5b9a\u57fa\u7840\u7684\u4eba\u7fa4<\/p>\n<ul>\n<li><a href=\"http:\/\/personal.disco.unimib.it\/Vanneschi\/McGrawHill_-_Machine_Learning_-Tom_Mitchell.pdf\">\u300aMachine &#8211; Learning &#8211; Tom Mitchell\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u672c\u4e66\u662fCMU\u673a\u5668\u5b66\u4e60\u7cfb\u4e3b\u4efbMitchell\u65e9\u5e74\u5199\u7684\u673a\u5668\u5b66\u4e60\u6559\u79d1\u4e66\uff0c\u5e74\u4ee3\u6709\u70b9\u4e45\u8fdc.\u96be\u5ea6\u4e0d\u9ad8\u3002\u9002\u5408\u521d\u5b66\u8005\uff0c\u672c\u79d1\u751f\uff0c\u7814\u7a76\u751f<\/p>\n<ul>\n<li><a href=\"https:\/\/mitpress.mit.edu\/books\/learning-kernels\">\u300aLearning with Kernels Support Vector Machines, Regularization, Optimization, and Beyond\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u672c\u4e66\u8bbe\u8ba1\u5b66\u4e60Kernel\u548cSVM\u7684\u5404\u79cd\u7406\u8bba\u57fa\u7840\uff0c\u9700\u8981\u8f83\u5f3a\u7684\u6570\u5b66\u529f\u5e95\uff0c\u9002\u5408\u5bf9kernel\u548cSVM\u611f\u5174\u8da3\u7684\u540c\u5b66\u9009\u8bfb<a href=\"http:\/\/dip.sun.ac.za\/%7Ehanno\/tw796\/lesings\/mlss06au_scholkopf_lk.pdf\">Learning with Kernels PPT<\/a>\uff0c\u53c2\u8003<a href=\"https:\/\/www.cs.utah.edu\/%7Epiyush\/teaching\/learning-with-kernels.pdf\">Learning with Kernels<\/a><\/p>\n<ul>\n<li><a href=\"http:\/\/statweb.stanford.edu\/%7Etibs\/ElemStatLearn\/\">\u300aThe Elements of Statistical Learning: Data Mining, Inference, and Prediction\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u65af\u5766\u798f\u7edf\u8ba1\u7cfb\u4e09\u4f4d\u5927\u795e\u7684\u7edf\u8ba1\u5b66\u4e60\u6559\u79d1\u4e66\uff0c\u504f\u7edf\u8ba1\u548c\u5b66\u4e60\u7406\u8bba\uff0c\u9700\u8981\u5bf9\u7ebf\u6027\u4ee3\u6570\u3001\u7edf\u8ba1\u548c\u6982\u7387\u8bba\u6709\u4e00\u5b9a\u57fa\u7840\u3001\u96be\u5ea6\u9ad8\u3001\u9002\u5408\u7814\u7a76\u751f<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cse.hcmut.edu.vn\/%7Echauvtn\/data_mining\/Texts\/%5B7%5D%20Data%20Mining%20-%20Practical%20Machine%20Learning%20Tools%20and%20Techniques%20%283rd%20Ed%29.pdf\">\u300aData Mining: Practical Machine Learning Tools and Techniques\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u672c\u4e66\u662f\u8457\u540d\u673a\u5668\u5b66\u4e60\u5de5\u5177Weka\u4f5c\u8005\u64b0\u5199\u7684\u5e94\u7528\u673a\u5668\u5b66\u4e60\u6307\u5bfc\u4e66\u3001\u975e\u5e38\u5b9e\u7528\u3001\u96be\u5ea6\u4f4e\u3001\u9002\u5408\u6587\u79d1\u548c\u5404\u79cd\u5e94\u7528\u79d1\u5b66\u505a\u53c2\u8003<\/p>\n<ul>\n<li><a href=\"http:\/\/nlp.stanford.edu\/fsnlp\/\">\u300aFoundations of Statistical Natural Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u672c\u4e66\u4e5f\u662f\u4e00\u672c\u6bd4\u8f83\u53d7\u6b22\u8fce\u7684NLP\u6559\u79d1\u4e66\uff0c\u96be\u5ea6\u4e00\u822c\uff0c\u4e3b\u8981\u8986\u76d6\u7edf\u8ba1NLP\u65b9\u6cd5\uff0c\u662f\u65af\u5766\u798f\u7684\u53e6\u4e00\u4f4d\u5927\u725bChirs manning\u6240\u5199<\/p>\n<ul>\n<li><a href=\"https:\/\/web.stanford.edu\/%7Ejurafsky\/slp3\/\">\u300aSpeech and Language Processing\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5728\u5317\u7f8eNLP\u6700\u5e38\u7528\u7684\u6559\u6750\uff0c\u65af\u5766\u798fJurafsky\u6240\u5199\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5165\u95e8\u6559\u7a0b\uff0c\u8986\u76d6\u9762\u8f83\u4e3a\u5168\u9762\uff0c\u96be\u5ea6\u4e2d\u4f4e\u3002\u9002\u5408\u672c\u79d1\u751f\u548c\u7814\u7a76\u751f<\/p>\n<ul>\n<li><a href=\"http:\/\/www.nltk.org\/book\/\">\u300aNatural Language Processing with Python &#8211; NLTK\u300b<\/a><\/li>\n<\/ul>\n<p>\u4ecb\u7ecd: \u5b9e\u6218\u578b\u6559\u7a0b\uff0c\u8457\u540d\u5de5\u5177NLTK\u4f5c\u8005\u7684\u8457\u4f5c\uff0c\u9002\u5408\u672c\u79d1\u751f\u548c\u5165\u95e8\u8005\u8fb9\u52a8\u624b\u8fb9\u5b66<\/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-2\" 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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