Covers basics of pattern recognition techniques. Topics include hypothesis testing, parametric classifiers, parameter estimation, nonparametric density estimation, nonparametric classifiers, feature selection, discriminant analysis, and clustering. Credit is awarded for one of the following EE 240 or CS 229.

instructor Salman Asif