ICML2014Ƶ
http://techtalks.tv/icml2014/
International Conference on Machine Learning 2014ƵKeynoteTutorialTrack
word2vec 0.1C汾
https://code.google.com/p/word2vec/
ҪĶһIJCBOWۼӸijƽ˻ģ
ѧϰDeep Learning on Hadoop
http://cdn.oreillystatic.com/en/assets/1/event/115/Introduction%20to%20Parallel%20Iterative%20Deep%20Learning%20on%20Hadoop%E2%80%99s%20Next%E2%80%8B-Generation%20YARN%20Framework%20Presentation%202.pdf
˵ĽʲôѧϰDLʲôӦʺDLDLЩԴʵ֣HadoopһDLӦá
226482ݼ6,482 Datasets Available Across 22 Federal Agencies In Data.json Files
http://kinlane.com/2014/08/25/6482-datasets-available-across-22-federal-agencies-in-datajson-files/ 226482ݼ
David MimnoдġԻѧϰѧߵһ㽨顷
http://mimno.infosci.cornell.edu/b/articles/ml-learn/ David MimnoдġԻѧϰѧߵһ㽨顷ǿʵ۽ϡ
ӵд--ڱ
http://v.youku.com/v_show/id_XNzY1MTk2OTY0.html ڼ飺μݴѧУͳϵΡ廪ѧѧѧѧԺƸ,ѧԺԺʿ
Tutorial: Dependency Parsing: Past, Present, and Future
http://ir.hit.edu.cn/~lzh/ COLING 2014ݴѧڣںʿTutorial "Dependency Parsing: Past, Present, and Future"
TutorialEntity Linking and Retrieval
http://ejmeij.github.io/entity-linking-and-retrieval-tutorial/ Ϊʵӣʵ
ʿģRECURSIVE DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING AND COMPUTER VISION
http://nlp.stanford.edu/~socherr/thesis.pdf Richard Socher
199IT2014.09.012014.09.07ϼ
http://dataunion.org/bbs/forum.php?mod=viewthread&tid=426&page=1&extra=#pid433 Nielsen2014ȫ桢Acquity2014ȫго桢App Annie&IDC2014Q2ȫֻϷгȡ
Michael Jordan Redditʴ
http://www.reddit.com/r/MachineLearning/comments/2fxi6v/ama_michael_i_jordan/ Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. ڱʴУMichael JordanشѧϰĹ۵㣬ƼһЩѧϰѧϰ鼮ȵȡ
˹Դ
http://openair.allenai.org/ Open AI ResourceռAIĺܶߺݣôҵۡĿǰڰ3000+Դ12࣬ϲã
KDD2014 "the recommender problem revisited"
http://www.kdd.org/kdd2014/tutorials/KDD%20-%20The%20Recommender%20Problem%20Revisited.pdf ƼϵͳһXavier Amatriain(135ҳ, 2014ѧϰļѧУ248ҳ), ڶ"Context Aware Recommendation" (64ҳ)
ѧϰοĿȫ
http://memkite.com/deep-learning-bibliography/ ռѧϰµij2014֮˾ıעѧϰصϡ
Deep learning߰ CNTK
https://cntk.codeplex.com/ оԺƷC++ʵ֣CPU/GPU֧֣DNN/CNN/RNN/LSTMĿǰֻ֧windows
ѵ: Deep Learning Methods and Applications" (2014)
http://research.microsoft.com/pubs/209355/DeepLearning-NowPublishing-Vol7-SIG-039.pdf оԺᶰдѵ飬200ҳƪѧϰķӦ˱Ƚȫ
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