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 |
|---|---|---|---|---|---|---|---|---|---|
| 30460R | 048 | Lecture | 3:30-4:50pm | Tue, Thu | 36 of 55 | Antonio Ortega | OHE132 |   | |
| 30889D | 034 | Lecture | 3:30-4:50pm | Tue, Thu | 0 of 20 | Antonio Ortega | DEN@Viterbi | |