References

• L. Rosasco, Introductory Machine Learning Notes, Draft, 2016 (pdf).
• T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning, 2nd Ed., 2009 (pdf available on the author's website).

Further reading

• T. Poggio and S. Smale, Mathematics of Learning: Dealing with Data, Notices of the AMS, 2003.
• P. Domingos, A few useful things to know about Machine Learning, Comm. ACM, 55 (10), 2012.

Related courses

• BMM SS 2015 - Videos of the ML class in BMM summer course 2015.
• MLCC - ML crash course (10 lectures).
• ISML2, Unige - Undergraduate intro to ML (term-long).
• RegML 2016 - Advanced ML course (20 lectures).
• MIT 9.520 - Statistical Learning Theory and Applications, Fall 2015 (term-long).