COS 575 - Machine Learning

The basic theory, algorithms, and applications of Machine Learning are covered in this course. Students will develop an understanding of learning theory, supervised and unsupervised learning algorithms, and reinforcement learning techniques. The course will also explore recent practical applications of machine learning.

Prerequisite(s): COS 285 and MAT 295 or their equivalents, or permission of instructor.
Co-requisite(s):
Credits: 4

Course Typically Offered:
Course Type: Computer Science