CS 543 Machine Learning

Prerequisites: CSIT 512 and CS 528 Introduction to the field of modeling learning with computers. Topics included are explorations of inductive learning, learning decision trees, ensemble learning, computational learning theory, and statistical learning methods.

Credits

3.0

Cross Listed Courses

Double-numbered course; offered with undergraduate-level CS 443

Offered

Spring Semester (Even Years)