@@ -337,7 +344,6 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
...
@@ -337,7 +344,6 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
*[An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
*[An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
*[Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)*
*[Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)*
*[Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
*[Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
*[Computer Vision: Algorithms and Applications](http://hackershelf.com/book/134/computer-vision-algorithms-and-applications/)
*[Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
*[Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
*[Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/)
*[Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/)
...
@@ -348,7 +354,6 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
...
@@ -348,7 +354,6 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
*[Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/whole.pdf)(PDF) or [online version](http://www1.maths.leeds.ac.uk/~charles/statlog/) - This book is based on the EC (ESPRIT) project StatLog.
*[Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/whole.pdf)(PDF) or [online version](http://www1.maths.leeds.ac.uk/~charles/statlog/) - This book is based on the EC (ESPRIT) project StatLog.
*[Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
*[Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
*[Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html)(Draft, with R code)
*[Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html)(Draft, with R code)
*[Programming Computer Vision with Python](http://programmingcomputervision.com/) - Jan Erik Solem
*[Reinforcement Learning: An Introduction](http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html)
*[Reinforcement Learning: An Introduction](http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html)
*[The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
*[The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
*[The LION Way: Machine Learning plus Intelligent Optimization](http://www.e-booksdirectory.com/details.php?ebook=9575)
*[The LION Way: Machine Learning plus Intelligent Optimization](http://www.e-booksdirectory.com/details.php?ebook=9575)