CSC 448/548 Machine Learning

Credits: (3-0) 3

A systematic study of the theory and algorithms that constitute machine learning. It covers learning based on examples including genetic algorithms, case-based reasoning, decision trees, and Bayesian methods.

Prerequisites: CSC 315 with a grade of “C” or better.
Notes: Students enrolled in CSC 548 will be held to a higher standard than those enrolled in CSC 448.

Check course scheduling information