CMPUT 567 - Machine Learning II

3 units (fi 6)(VAR, VARIABLE)

Faculty of Science

This course expands on machine learning fundamentals with a focus on extending to nonlinear modeling with neural networks and higher-dimensional data. Topics include: optimization approaches (constrained optimization, hessians, matrix solutions), deep learning and neural networks, generative models, more advanced methods for assessing generalization (cross-validation, bootstrapping), introduction to non-iid data and missing data. Credit cannot be obtained for both CMPUT 467 and 567 or CMPUT 367 and 567.

No past terms
No future terms
No syllabi

Winter Term 2026

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE B1
(87865)
25
2026-01-05 - 2026-04-10 (TR)
15:30 - 16:50