Additional bibliography for study
- Machine Learning, T. Mitchell, McGraw Hill, 1997.
- The Elements of Statistical Learning:Data Mining, Inference, and Prediction, T. Hastie, R. Tibshirani and J. Friedman, Springer, 2nd edition, 2009.
- Machine Learning:The Art and Science of Algorithms that Make Sense of Data, Peter Flach, Cambridge University Press, 2012.
- Introduction to Machine Learning with Python: A Guide for Data Scientists, Sarah Guido and Andreas C. Müller, O' Reilly Media, 2016.
- Data Mining, Practical Machine Learning Tools and Techniques with Java Implementation (second edition), Ian Witten & Eibe Frank, Morgan Kaufmann, 2005.
- Introduction to Machine Learning (Draft of incomplete Notes), Nils J. Nilsson, 2015 (https://ai.stanford.edu/~nilsson/mlbook.html)
- Introduction to Machine Learning, Ethem Alpaydin, The MIT Press, October 2004.
- Introduction to Data Mining. Pang-Ning Tan, Michael Steinbach and Vipin Kumar. Pearson Addison Wesley. 2005