Computer Science 467:
Foundations of Machine Learning (4.0 units)
Algorithms for learning behavior from data, including both mathematical underpinnings and practical techniques. Covers supervised learning, deep learning, unsupervised learning and reinforcement learning.
- Prerequisite: CSCI 170 and 1 from (CSCI 104 or CSCI 114) and 1 from (MATH 225 or EE 141) and 1 from (EE 364 or MATH 407 or BUAD 310 or ISE 225)
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30277R | 001 | Lecture | 2:00-3:20pm | Mon, Wed | 36 of 70 | Victor Adamchik | THH210 |  | |
| 30278R | 001 | Discussion | 2:00-2:50pm | Friday | 36 of 70 | THH210 | |