Computer Science 567:
Machine Learning (3.0 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 | 2:00-3:20pm | Tue, Thu | 34 of 60 | Yan Liu | GFS116 |   | |
| 30095D | 048 | Lecture | 8:30-9:50am | Mon, Wed | 107 of 130 | Fei Sha | MRF340 | PDF (81104 KB) | |