Detailed Course Information

Select the desired Level or Schedule Type to find available classes for the course.

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. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Independent Study, Directed Reading, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Must be enrolled in one of the following Concentrations: Computer Science

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.*
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Independent Study, Directed Reading, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Graduate
Must be enrolled in one of the following Concentrations:
Computer Science

Return to Previous	New Search

Return to Previous

New Search

Skip to top of page

UR Self-Service

Detailed Course Information

© 2024 Ellucian Company L.P. and its affiliates.