Electrical and Computer Engineering 660:
Machine Learning II: Mathematical Foundations and Methods (4.0 units)
Supervised, semi-supervised, and unsupervised machine learning; domain adaptation and transfer learning. Feasibility of learning, model complexity, and performance (error) on unseen data.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30460R | 048 | Lecture | 2:00-3:50pm | Tue, Thu | 97 of 120 | Keith Jenkins | OHE122 | PDF (253652 KB) |  |
| 30889D | 034 | Lecture | 2:00-3:50pm | Tue, Thu | 9 of 20 | Keith Jenkins | DEN@Viterbi | PDF (253652 KB) | |
| 31100R | 048 | Discussion | 3:30-4:20pm | Friday | 97 of 120 | OHE122 | | ||
| 31101D | 034 | Discussion | 3:30-4:20pm | Friday | 9 of 20 | DEN@Viterbi | |