Electrical Engineering 660:
Machine Learning from Signals: Foundations and Methods (3.0 units)
Supervised, semi-supervised, and unsupervised machine learning; classification and regression. Model complexity, assessment, and selection; performance (error) on unseen data. Prerequisite: EE 441 and EE 503. Recommended preparation: EE 559 or CSCI 567.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30460D | 048 | Lecture | 3:30-4:50pm | Tue, Thu | 61 of 75 | Keith Jenkins | OHE136 | PDF (230069 KB) |   |
| 30889D | 034 | Lecture | 3:30-4:50pm | Tue, Thu | 4 of 20 | Keith Jenkins | DEN@Viterbi | PDF (230069 KB) | |