The course introduces basic concepts and techniques of data analysis and machine learning. Topics include: data preprocessing techniques, decision trees, nearest neighbor algorithms, linear and logistic regressions, clustering, dimensionality reduction, model evaluation, deployment methods, and emerging topics. Prerequisites: ECE 220 or CMPUT 275, and ECE 342 or STAT 235, or consent of instructor.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE B1
(76560) |
150 |
2025-01-06 - 2025-04-09 (TR)
11:00 - 12:20
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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SEMINAR J31
(76561) |
150 |
2025-01-06 - 2025-04-09 (W)
08:00 - 08:50
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