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http://www.eecs.berkeley.edu/~wainwrig/

(this is a very nice homepage of a professor on machine learning)

http://www1.cs.columbia.edu/~jebara/index.html

(another homepage of a professor on machine learning)

http://www.athenasc.com/convexity.html

http://www.athenasc.com/nonlinbook.html

http://www.eecs.berkeley.edu/~polak/EE227B.d/EE227B.html

http://measuringmeasures.blogspot.com/

http://measuringmeasures.com/

http://pindancing.blogspot.com/

http://blog.smellthedata.com/

http://ecome.wordpress.com/

ps: the following list is the useful articles on machine learning

http://measuringmeasures.com/blog/2010/3/12/learning-about-machine-learning-2nd-ed.html

http://pindancing.blogspot.com/2010/01/learning-about-machine-learniing.html

http://news.ycombinator.com/item?id=1055042

http://blog.smellthedata.com/2010/07/choosing-first-machine-learning-project.html

ps: the following article gives a list of machine learing blogs

http://ecome.wordpress.com/2010/11/15/machines-learning-blogs/

ps: the following link is the program of statistical machine learning at Berkeley University

http://www.stat.berkeley.edu/~gvrocha/statlearning/index.html

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