2026 Spring > UGRD > CS > CS 438
Applied Machine Learning
Course #: CS 438
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.
Pre Requisites:
Pre-req: CS 310
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 3741 | MW 2:30 - 3:45 pm |
Ding,Wei | University Hall Y01-1350 TEAL | |
|
Session:
Regular
Class Dates:
01/26/2026 - 05/13/2026
Capacity:
40
Enrolled:
35
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-req: CS 310
Course Attributes:
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