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 | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 91 of 115 | Keith Jenkins | OHE122 | PDF (190675 KB) |   |
| 30889D | 034 | Lecture | 2:00-3:20pm | Tue, Thu | 3 of 20 | Keith Jenkins | DEN@Viterbi | PDF (190675 KB) | |
| 31100R | 048 | Discussion | 3:30-4:20pm | Friday | 91 of 115 | OHE122 | | ||
| 31101D | 034 | Discussion | 3:30-4:20pm | Friday | 3 of 20 | DEN@Viterbi | |