Applied Machine Learning
Course #: CS 438, Class #: 3413, 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
1/25/27 - 5/12/27
MoWe 2:30p.m. – 3:45p.m.
Location
University Hall Y01-1350 TEAL
Credits
3
Session
Regular Academic Session
Class Dates
1/25/2027 - 5/12/2027
Location
University Hall Y01-1350 TEAL
Enrolled / Capacity
0 / 50
Status
Open