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.
Cross Listed Courses
Double-numbered course; offered with undergraduate-level
CS 443
Offered
Spring Semester (Even Years)