Machine Learning
Durham
Engineering&Physical Sciences::Computer Science
Credits: 4.0
Class Size: 40
Term:
Spring 2025
-
Full Term (01/21/2025
-
05/05/2025)
CRN:
56456
Grade Mode:
Letter Grading
An introduction to fundamental concepts and common methods in machine learning. In addition to theoretical topics, the course involves hands-on experience in making predictions using synthetic and real-world datasets. Programming course required prior to taking this course.
Cross Listed With :
CS 850 (01)
Prerequisite(s): MATH 539 or MATH 644
Instructors:
Marek Petrik
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/21/2025 | 5/5/2025 | TR | 9:40am - 11:00am | CHASE 105 |
