Computer Science 559:
Machine Learning I: Supervised Methods (4.0 units)
Distribution-free and probabilistic methods for supervised classification and regression; learning algorithms; optimization techniques; feature-space transformations; parametric and nonparametric methods; Bayes decision theory; artificial neural networks.
- Corequisite: EE 503 and EE 510
- Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 559.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30490D | 048 | Lecture | 12:00-1:50pm | Tue, Thu | 32 of 80 | Mohammad Reza Rajati | OHE122 |  | |
| 30561D | 034 | Lecture | 12:00-1:50pm | Tue, Thu | 1 of 20 | Mohammad Reza Rajati | DEN@Viterbi | | |
| 30565R | 048 | Discussion | 11:00-11:50am | Friday | 32 of 80 | OHE122 | | ||
| 30489D | 034 | Discussion | 11:00-11:50am | Friday | 1 of 20 | DEN@Viterbi | |