From 35ec6e1d545552f655d7ccd8a99a0b478d73f158 Mon Sep 17 00:00:00 2001 From: Josh Davis Date: Fri, 24 Jan 2014 23:14:05 -0600 Subject: [PATCH 1/2] Add ISL to Machine Learning --- free-programming-books.md | 1 + 1 file changed, 1 insertion(+) diff --git a/free-programming-books.md b/free-programming-books.md index b5173982b..1be65523d 100644 --- a/free-programming-books.md +++ b/free-programming-books.md @@ -289,6 +289,7 @@ * [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/) From e0d43f8bab0e819d8e9b9e63e0e3f53627a1d800 Mon Sep 17 00:00:00 2001 From: Josh Davis Date: Fri, 24 Jan 2014 23:14:34 -0600 Subject: [PATCH 2/2] Move ESL from Data Mining to Machine Learning --- free-programming-books.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/free-programming-books.md b/free-programming-books.md index 1be65523d..57fcff771 100644 --- a/free-programming-books.md +++ b/free-programming-books.md @@ -269,7 +269,6 @@ * [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) @@ -302,6 +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)