Course Listings

2024 Fall > UGRD > CS > CS 438

Applied Machine Learning

Course #: CS 438

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.
Pre Requisites:
Pre-req: CS 310

Section Class Number Schedule/Time Instructor Location
01 3632 MW
4:00 - 5:15 pm
Babur,Ozgun McCormack M02-0208
Session: Regular
Class Dates: 09/03/2024 - 12/13/2024
Capacity: 18
Enrolled: 13
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req: CS 310
Course Attributes: