Tutorials:

• Statistical Data Mining Tutorials Tutorial Slides by Andrew Moore http://www.autonlab.org/tutorials/

• CS 281B / Stat 241B, Spring 2008:Statistical Learning Theory Readings http://www.cs.berkeley.edu/~bartlett/courses/281b-sp08/readings.html

• Machine Learning Surveys:A list of literature surveys, reviews, and tutorials on Machine Learning and related topics http://www.mlsurveys.com/

• 机器学习经典论文/survey合集 http://suanfazu.com/discussion/68

• Berkeley course on Data Science http://www.datasciencecentral.com/profiles/blogs/berkeley-course-on-data-science

BOOKs:

• Introduction to Machine Learning http://alex.smola.org/drafts/thebook.pdf

• The Elements of Statistical Learning http://statweb.stanford.edu/~tibs/ElemStatLearn/

• Reinforcement Learning:An Introduction http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html

• Bayesian Reasoning and Machine Learning http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/250214.pdf

• Gaussian Processes for Machine Learning http://www.gaussianprocess.org/gpml/chapters/

• Introduction to Information Retrieval http://nlp.stanford.edu/IR-book/information-retrieval-book.html

• Convex Optimization – Boyd and Vandenberghe http://www.stanford.edu/~boyd/cvxbook/

• All of Statistics:A Concise Course in Statistical Inference http://www.stat.cmu.edu/~larry/all-of-statistics/index.html

• Machine Learning: a Probabilistic Perspective http://www.cs.ubc.ca/~murphyk/MLbook/ 下载

• 机器学习经典书籍 http://suanfazu.com/discussion/109/