Watson wannabes: 4 open source projects for machine intelligence
By Serdar Yegulalp
http://www.infoworld.com/article/2858891/machine-learning/four-open-source-watson-machine-intelligence.html
Slides: http://www.cs.ubc.ca/~nando/540-2013/lectures/l2.pdf
Hastie, Tibshirani & Friedman book: http://statweb.stanford.edu/~tibs/ElemStatLearn/download.html
Theano (Python): http://deeplearning.net/software/theano/
Multivariate normal distribution Wikipedia page: http://en.wikipedia.org/wiki/Multivariate_normal_distribution
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Slides: http://www.cs.ubc.ca/~nando/540-2013/lectures/l1.pdf
http://www.mobileye.com/
http://mlg.eng.cam.ac.uk/mlss09/mlss_slides/mlss09-tenenbaum-lecture1.pdf
http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/35179.pdf
http://openie.cs.washington.edu/
http://people.musc.edu/~wolfb/BMTRY726_Spring2014/Artificial%20Neural%20Networks%20-%20A%20Tutorial.pdf
http://research.microsoft.com/pubs/144412/dbn4lvcsr-transaslp.pdf
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