EE 471 - Machine Learning I

Lecture Hours: 4
Lab Hours: 0
Credit Hours: 4

Theory and practice of Genetic Algorithms, Evolution Strategies, Backprop, Kernel Methods, Naïve Bayes, Bayesian Belief Nets, Fuzzy Inference; brief discussion of Genetic Programming, Swarm Intelligence, Reinforcement Learning, Bayes Optimal.

Prerequisite: EE 430, or CST 116 and MATH 341, or ENGR 267 and MATH 341