Resources

Machine Learning for Data Sciences (CS 4786) Course Webpage Programming resources References Richard O. Duda, Peter E. Hart, David G. Stork, 2001. Pattern Classification (2nd ed) David Hand, Heikki Mannila, and Padhraic Smyth, 2001. Principles of Data Mining (link gives access to Cornellians; you may need to be coming from a Cornell IP address). Official book link at MIT Press here. Trevor Hastie, Robert Tibshirani, Jerome Friedman, 2009. The Elements of Statistical Learning, 2nd edition. Site includes full pdf, errata, R functions. John Hopcroft and Ravindran Kannan, draft of November 2014. Foundations of Data Science. Kevin Murphy, 2012. Machine Learning: A Probabilistic Perspective. MIT Press. (link gives access to Cornellians; you may need to be coming from a Cornell IP address). Pang-Ning Tan, Michael Steinbach, Vipin Kumar, 2006. Introduction to…


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