Applied Machine Learning
Course #: CS 438, Class #: 3229, Section #: 01
Description
This course presents the practical side of machine learning for applications, such as pattern recognition from images or building predictive classifiers. Topics will include linear models for regression, decision trees, rule based classification, support vector machines, Bayesian networks, and clustering. The emphasis of the course will be on the hands-on application of machine learning to a variety of problems.
Prerequisites
CS 310
Course Details
Date / Time
9/8/26 - 12/11/26
MoWe 4p.m. – 5:15p.m.
Location
Wheatley-Peters W01-0042
Credits
3
Session
Regular Academic Session
Class Dates
9/8/2026 - 12/11/2026
Location
Wheatley-Peters W01-0042
Enrolled / Capacity
9 / 35
Status
Open