DSC 522 - Machine Learning II

Course Description: Advanced topics in machine learning and applications with implementation in computer languages such as Python, R, SAS, and Matlab. Topics include statistical approaches, kernel methods, convolutional neural networks and support vectors machines. Six lecture hours and two laboratory hours per week for each week of the half-semester session.

Credit Hours: 3

Corequisite Courses: None
Prerequisite Courses: None
Additional Restrictions/ Requirements: None
Course Repeatability: Course may not be repeated

ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None

Click here for the Spring 2025 Class Schedule.