The main reading material will consist of lecture slides and related materials, that will be distributed at the beginning of the course, as well as the following textbook:
- Hastie, T., Tibshirani, R. and Friedman, J. The Elements of Statistical Learning: Data Mining, Inference and Prediction. 2nd Edition, Springer, 2009.
Optionally, the following books might also be helpful:
- K. Murphy, Machine Learning: A Probabilistic Perspective, MIT Press, 2012.
- D. Barber, Bayesian Reasoning and Machine Learning, Cambridge University Press 2012.
- C. M. Bishop, Pattern Recognition and Machine Learning, Springer 2006.