- Stuart Russell and Peter Norvig, "Artificial Intelligence: A Modern Approach", 2nd edition, Prentice Hall, 2002
- Richard O. Duda, Peter E. Hart, David G. Stork, "Pattern Classification", 2nd Edition, John Wiley & Sons, November 2000
- Trevor Hastie, Robert Tibshirani, Jerome Friedman, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction", 2nd edition, Springer, February 2009, available here.
- Morris H. DeGroot, Probability and Statistics, 2nd edition, Addison-Wesley, January 1986.
Bayesian Networks and Causality:
- Judea Perl, "Causality: models, reasoning, and inference", Cambridge University Press New York, NY, 2000.
- Peter Spirtes, Clark Glymour, Richard Scheines, "Causation, Prediction, and Search", available here.
Optimization Theory and Support Vector Machines
- Christopher J.C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition", Data Mining and Knowledge Discovery, Issue 2,
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