Machine Learning Systems

Catalog description

Discusses important machine learning algorithms, systems, theory and practices including decision-tree learning, artificial neural networks, Bayesian approaches, genetic algorithms and programs, reinforcement learning, computational learning theory, etc. May not be taken for credit by students who received credit for: CS 475. Enrollment Requirement(s): for graduate students: CS 311 . Prerequisite(s): for undergraduate students: CS 311 .