DSC
545:
Machine Learning II
The course builds upon the topics covered in the Machine Learning I course. The course delves deeper into complex machine learning concepts and techniques, including temporal models, reinforced learning, Bayesian networks, semi-supervised learning, and advanced topics for AI decision-making processes.
DSC 445 is a prerequisite for this class.
Winter 2025-2026
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Section:
801
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Class number:
25019
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Meeting time:
M
5:45PM
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9:00PM
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Location:
CDM 00226
at
Loop Campus
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Instructor:
Noriko Tomuro
| View syllabus