CS 443 Machine Learning

Prerequisites: Junior standing and CS 428 or permission of the instructor 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 graduate-level CS 543

Offered

Spring Semester (Even Years)