Computer Science 567:
Machine Learning (4.0 units)
Statistical methods for building intelligent and adaptive systems that improve performance from experiences; Focus on theoretical understanding of these methods and their computational implications. Recommended preparation: Undergraduate level training or coursework in linear algebra, multivariate calculus, basic probability and statistics; an undergraduate level course in Artificial Intelligence may be helpful but is not required.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30049D | 048 | Lecture | 2:00-3:50pm | Mon, Wed | 28 of 40 | Yan Liu | WPH207 |    | |
| 30095D | 048 | Lecture | 10:00-11:50am | Mon, Wed | 130 of 140 | Yan Liu | MRF340 | | |
| 30178R | 048 | Discussion | 4:00-4:50pm | Friday | 158 of 180 | SAL101 | |