CS 490DH
Topics in Machine Learning
In this course, the student makes an independent study in Machine Learning under the supervision of a faculty member in the department. Topics may include classification, regression, clustering, decision trees and random forests, deep learning, time-series forecasting, and anomaly detection. *Note: Students who have successfully completed one of CS 713, CS 830, or CS 890EN may not register in this course.*
Sources
- Course catalogue ↗2026-2027