*[Introduction to Data Science](http://jsresearch.net/wiki/projects/teachdatascience/Teach_Data_Science.html) - Jeffrey Stanton
*[Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html)
*[School of Data Handbook](http://schoolofdata.org/handbook/)
*[The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
*[Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
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@@ -289,6 +288,7 @@
*[A Course in Machine Learning](http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf)(PDF)
*[A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf)(PDF)
*[AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java](http://wps.aw.com/wps/media/objects/5771/5909832/PDF/Luger_0136070477_1.pdf) - George F. Luger, William A Stubblefield
*[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)*
*[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/)
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@@ -301,6 +301,7 @@
*[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/)
*[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 Python Game Book](http://thepythongamebook.com/en:start)
