COMP 5116
Machine Learning
Broad introduction to the fundamental concepts, techniques and algorithms in machine learning. Many of these concepts use probability, statistics, linear algebra and calculus; since some of the algorithms are implemented, programming skills at a level sufficient to write a reasonable non-trivial computer program are desirable.
2026
Readings
- MIT Press, 2012.
- The Elements of Statistical Bookstore (optional) no need to purchase Learning, by Trevor Hastie, Robert Tibshirani, Jerome Friedman. Second edition, Springer-Verlag New York, 2009.
- Bishop. Springer-Verlag New York, 2006
Sources
- Course catalogue ↗2026–2027
- Machine Learning ↗2026