COMP 421 – Machine Learning
| Points: | 15 | Prerequisites: | COMP 307 plus one further course from COMP 301-399, ECEN 301-399, SWEN 301-399, or NWEN 301-399 |
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| Faculty: | Engineering | Corequisites: | None |
| School: | Engineering & Comp Sci | Restrictions: | None |
This course covers a range of topics in machine learning, with a focus on inference and uncertainty. Topics include optimization, Bayesian probability theory, learning from rewards, unsupervised learning, Belief networks and particle filters.
This course is not currently being offered.