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 | Mon, Wed | 28 of 80 | Stephen Tu | OHE136 |  | |
| 31100R | 048 | Discussion | 11:00-11:50am | Friday | 28 of 80 | OHE136 | | ||
| 30877D | 034 | Lecture | 4:00-5:50pm | Mon, Wed | 0 of 20 | Stephen Tu | DEN@Viterbi | | |
| 31103D | 034 | Discussion | 11:00-11:50am | Friday | 0 of 20 | DEN@Viterbi | |