Electrical and Computer Engineering 660:
Machine Learning from Signals: Foundations and Methods (3.0 units)
Supervised, semisupervised, and unsupervised machine learning; classification and regression. Model complexity, assessment, and selection; performance (error) on unseen data.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30460D | 073 | Lecture | 2:00-3:20pm | Tue, Thu | 98 of 150 | Keith Jenkins | ONLINE | PDF (243141 KB) |   |
| 30889D | 034 | Lecture | 2:00-3:20pm | Tue, Thu | 5 of 20 | Keith Jenkins | DEN@Viterbi | PDF (243141 KB) | |
| 31100R | 073 | Discussion | 3:30-4:20pm | Friday | 98 of 150 | ONLINE | | ||
| 31101D | 034 | Discussion | 3:30-4:20pm | Friday | 5 of 20 | DEN@Viterbi | |