Electrical and Computer Engineering 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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
30589D | 911 | Lecture | 12:00-1:50pm | TuWTh | 1 of 20 | Mohammad Reza Rajati | DEN@Viterbi | PDF (220082 KB) | |
30590D | 911 | Discussion | 2:00-2:50pm | Friday | 1 of 20 | DEN@Viterbi | |||
30585R | 906 | Lecture | 12:00-1:50pm | TuWTh | 13 of 60 | Mohammad Reza Rajati | OHE100C | PDF (220082 KB) | |
30587R | 906 | Discussion | 2:00-2:50pm | Friday | 13 of 60 | OHE100C |