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CMPUT 467: Machine Learning II

At a glance

  • Units: 3
  • Prerequisites: CMPUT 204 and CMPUT 267; any 300-level Computing Science course; and one of MATH 101, 115, 118, 136, 146, or 156.
  • Credit exclusions: Credit cannot be obtained in both CMPUT 367 and 467.
  • Offered: Scheduled: Winter 2027

This is the second course of a two-course sequence on machine learning, 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.

Official catalogue entry ยท facts synced 2026-10-01

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