COMPSCI 274A
Probabilistic Learning: Theory and Algorithms
An introduction to probabilistic and statistical techniques for learning from data, including parameter estimation, density estimation, regression, classification, and mixture modeling.
Prerequisites & course information
An introduction to probabilistic and statistical techniques for learning from data, including parameter estimation, density estimation, regression, classification, and mixture modeling.
Sources
- Course catalogue ↗2026-2027