#  Elements of Statistical Learning (Online) 

 





October 20, 2009

 

 

In case you had not already heard, Trevor Hastie, Robert Tibshirani, and Jerome Friedman have put a PDF copy of the second edition of their excellent text [Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) on the book's website. I am sure many of you already own it, but a searchable version for the laptop is incredibly useful. The second edition has a lot of new content, including completely new chapters on Random Forests, Ensemble Learning, Undirected Graphical Models, and High-Dimensional Problems.

While a copy on your computer is very handy, a desk copy of this book is essential if you are interested in machine learning or data mining. The book is also a sight to behold. You can buy a copy at [Amazon](http://www.amazon.com/gp/product/0387848576/ref=s9_simz_gw_s0_p14_i1?pf_rd_m=ATVPDKIKX0DER&pf_rd_s=center-2&pf_rd_r=0Q2PXEQXRZ2AYKA0R27H&pf_rd_t=101&pf_rd_p=470938631&pf_rd_i=507846) or [Springer](http://www.springer.com/statistics/statistical%20theory%20and%20methods/book/978-0-387-84857-0).

Posted by [Matt Blackwell](http://www.iq.harvard.edu/blog/sss/archives/author/matt-blackwell/) at October 20, 2009 10:15 AM



 

 

 



 

 

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