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 |
---|---|---|---|---|---|---|---|---|---|
30460D | 048 | Lecture | 4:00-5:50pm | Tue, Thu | 16 of 76 | Stephen Tu | OHE132 | ||
30889D | 034 | Lecture | 4:00-5:50pm | Tue, Thu | 1 of 20 | Stephen Tu | DEN@Viterbi | ||
31100R | 048 | Discussion | 2:00-2:50pm | Friday | 16 of 76 | OHE136 | |||
31101D | 034 | Discussion | 2:00-2:50pm | Friday | 1 of 20 | DEN@Viterbi |