CSCI-B 455 PRINCIPLES OF MACHINE LEARNING (3 CR.)
In this course, we explore (machine learning) algorithms that can learn from and make predictions on data. This course introduces the statistical, mathematical, and computational foundations of these frameworks, with a strong focus on understanding the mathematical derivations for the algorithms and simultaneously implementing the algorithms.
1 classes found
Spring 2025
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 6802 | Open | 2:20 p.m.–3:35 p.m. | MW | GA 1118 | Zhou D |
Regular Academic Session / In Person
LEC 6802: Total Seats: 60 / Available: 12 / Waitlisted: 0
Lecture (LEC)
- B 455: P - (CSCI-C 200 or C 211) and MATH-M 211