CPSC 8420 - Advanced Machine Learning

3 Credits (3 Contact Hours)

Covers the use of algorithms in machine learning, including decision trees, Bayesian learning, genetic algorithms, and reinforcement learning. This course also covers basic theoretical concepts, such as Occam’s razor, inductive bias, VC dimension, and PAC learnability. Students are expected to have familiarity with programming, linear algebra, and statistics before enrolling in this course.