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; human interpretability. Feasibility of learning, model complexity, and performance (error) on unseen data.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30460R | 048 | Lecture | 4:00-5:50pm | Tue, Thu | 31 of 56 | Stephen Tu | OHE100D |  | |
| 30889D | 034 | Lecture | 4:00-5:50pm | Tue, Thu | 5 of 20 | Stephen Tu | DEN@Viterbi | | |
| 31100R | 048 | Discussion | 2:00-2:50pm | Friday | 31 of 56 | OHE100D | | ||
| 31101D | 034 | Discussion | 2:00-2:50pm | Friday | 5 of 20 | DEN@Viterbi | |