EE 559 Machine Learning I: Supervised Methods

Units: 4
Terms Offered: Sp

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.
Recommended Preparation: knowledge of Python at the level of EE 541 (A Computational Introduction to Deep Learning); knowledge of multivariate calculus.
Corequisite: EE 503 and EE 510
Instruction Mode: Lecture, Discussion
Grading Option: Letter

Crosslisted as CSCI 559