CSCI 471 - Machine Learning Algorithms

Covers important machine learning research areas such as linear models, neural networks, kernel methods, graphical models, decision tree learning, evolutionary computation and computational learning theory. Models and algorithms from these research areas will be analyzed.

Prerequisites & Notes: CSCI 241; MATH 341 or equivalent; MATH 204 and MATH 224 are recommended.
Credits: 4
Grade Mode: Letter