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CMPUT 296

Topics in Computing Science

3 units

Fall 2020 · Basics of Machine Learning

Topics

Univariate statistical models
Summarizing data
Estimation principles
Generalization
Evaluating learned models

Readings

Martha White. Basics of Machine Learning. ↗
unspecified
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. An Introduction to Statistical Machine Learning (title as listed on course site). ↗
recommended
David Barber. Bayesian Reasoning and Machine Learning. ↗
recommended
C. M. Bishop. Pattern Recognition and Machine Learning. ↗
recommended
T. Hastie, R. Tibshirani and J. Friedman. The Elements of Statistical Learning. ↗
recommended

Sources

Course catalogue ↗2026–2027
Basics of Machine Learning ↗2020
Historical topics-course offering, as labelled by this Fall 2020 syllabus.