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CMPT 820 - Topics in Learning and Intelligent Systems

Description
This course explores advanced techniques for management and analysis of data in unstructured application environments. Techniques covered may be chosen from the following: Bayesian modelling, data conditioning, machine learning (Bayesian inference, neural networks, decision trees, classifiers), user interface agents, and other similar techniques in the AI research literature as appropriate.
Recent Professors
Michael Horsch, Kevin Stanley
Recent Semesters
Fall 2021, Fall 2020, Spring 2020, Spring 2019, Fall 2017
Class Size
20-42
Usually Held
TuTh (11:30am-12:50pm), MF (1:30pm-2:50pm)
Attributes
Audit Allowed with PermissionOn Campus Student FeesFee - Graduate Studies