Learning is essential for many real-world tasks, including recognition, diagnosis, forecasting and data-mining. This course covers a variety of learning scenarios (supervised, unsupervised and partially supervised), as well as foundational methods for regression, classification, dimensionality reduction and modeling. Techniques such as kernels, optimization and probabilistic graphical models will typically be introduced. It will also provide the formal foundations for understanding when learning is possible and practical. Credit cannot be obtained for both CMPUT 367 and CMPUT 466. Prerequisites: CMPUT 204 or 275; MATH 125; CMPUT 267 or MATH 214; or consent of the instructor.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
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LECTURE B1
(10919) |
130 |
2024-01-08 - 2024-04-12 (TR)
11:00 - 12:20
CCIS 1-140
|
Primary Instructor: Bailey Kacsmar
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| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB H01
(10920) |
130 |
2024-01-08 - 2024-04-12 (W)
17:00 - 19:50
CCIS L1-160
|
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Learning is essential for many real-world tasks, including recognition, diagnosis, forecasting and data-mining. This course provides a broad overview of topics in machine learning, from foundational methods for regression, classification and dimensionality reduction to more complex modeling with neural networks. It will also provide the formal foundations for understanding when learning is possible and practical. This single course is an alternative to the more in-depth two-course sequence on machine learning with CMPUT 267 and 467. Prerequisites: CMPUT 204 or 275; any 300-level Computing Science course; MATH 125 or 127; one of MATH 115, 118, 136, 146, or 156; and one of STAT 141, 151, 161, 181, 235, 265, SCI 151, or MATH 181. Credit cannot be obtained in CMPUT 466 if credit has already been obtained for CMPUT 467.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE A1
(49247) |
130 |
2024-09-03 - 2024-12-09 (TR)
12:30 - 13:50
CAB 265
|
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB D01
(49248) |
130 |
2024-09-03 - 2024-12-09 (M)
17:00 - 19:50
CCIS 1-160
|
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