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 |
|---|---|---|---|---|---|---|---|---|---|
| 30352D | 048 | Lecture | 5:00-6:20pm | Tue, Thu | 215 of 220 | Fei Sha | SGM124 | PDF (87856 KB) |   |
| 30179R | 048 | Discussion | 6:30-7:20pm | Friday | 30 of 33 | THH213 | | ||
| 30182R | 048 | Discussion | 6:30-7:20pm | Monday | 30 of 33 | THH213 | | ||
| 30184R | 048 | Discussion | 7:30-8:20pm | Monday | 24 of 33 | THH213 | | ||
| 30185R | 048 | Discussion | 7:30-8:20pm | Friday | 21 of 33 | THH213 | | ||
| 30255R | 048 | Discussion | 8:00-8:50am | Tuesday | 24 of 30 | Michael Shindler | OHE122 | | |
| 30256R | 048 | Discussion | 9:00-9:50am | Tuesday | 32 of 33 | Michael Shindler | KAP140 | | |
| 30257R | 048 | Discussion | 9:00-9:50am | Monday | 26 of 31 | Michael Shindler | VHE206 | | |
| 30258R | 048 | Discussion | 10:00-10:50am | Monday | 28 of 30 | Michael Shindler | VHE206 | | |
| 30259D | 034 | Lecture | 5:00-8:00pm | Tue, Thu | 12 of 20 | Fei Sha | DEN@Viterbi | | |
| 30272R | 034 | Discussion | 8:00-8:50am | Tuesday | 12 of 20 | Michael Shindler | DEN@Viterbi | |