University of Calgary

CPSC 544 - Machine Learning - Winter 2022

Presenting various techniques for learning various kinds of knowledge, including rules, parameters, trees and graphs, partitions of sets, sequences and behaviors, and cases. Pointing out the components that can be improved using knowledge about the application area of a system. Looking at various pre-processing and post-processing improvement techniques.
This course may not be repeated for credit.

Hours

  • (3-0)

Prerequisite(s)

  • Computer Science 433

Antirequisite(s)

  • Credit for Computer Science 5xx and Computer Science 599.44 will not be allowed.

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