School of Data Intelligence and Technology
Graduate

Term: Spring 2026
Session: 2nd 8 Week On-ground (Mar 16 - May 08)
Start Date: Monday, Mar 16, 2026
End Date: Friday, May 08, 2026
Availability: On Campus
Day(s): Mon.
Time: 06:00 PM to 10:00 PM

This course will cover the theory and practical application of machine learning algorithms. Students in this course will study supervised and unsupervised learning algorithms. Students will apply machine learning algorithms to datasets to uncover patterns using R and Python. Topics covered include random forest support vector machines deep neural networks interpretable machine learning. 3 CreditsPrerequisites: INFS6720