From ee826d425d5216cab63ae4792d94ede8a8b097ad Mon Sep 17 00:00:00 2001 From: Thomas Yarnall Date: Wed, 30 Oct 2013 22:53:27 -0500 Subject: [PATCH] Added books to Datamining and Machine Learning sections --- free-programming-books.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/free-programming-books.md b/free-programming-books.md index 52a3ad4e..8652fa1d 100644 --- a/free-programming-books.md +++ b/free-programming-books.md @@ -278,6 +278,7 @@ * [Internet Advertising: An Interplay among Advertisers, Online Publishers, Ad Exchanges and Web Users](http://arxiv.org/pdf/1206.1754v2.pdf) (PDF) * [Data Mining Algorithms In R](http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R) * [Introduction to Data Science](http://jsresearch.net/wiki/projects/teachdatascience/Teach_Data_Science.html) +* [School of Data Handbook](http://schoolofdata.org/handbook/) ####Machine Learning * [Programming Computer Vision with Python](http://programmingcomputervision.com/) @@ -289,7 +290,9 @@ * [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/) * [Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)* * [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code) -* [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) +* [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) (PDF) +* [Learning Deep Architectures for AI](http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf) (PDF) ####Mathematics * [Think Bayes: Bayesian Statistics Made Simple](http://www.greenteapress.com/thinkbayes/) - Allen B. Downey -- GitLab