DATA 275P
Machine Learning with Generative Models
Introduction to statistical machine learning with probabilistic generative models. Studies efficient inference algorithms based on optimization-based variational methods, and simulation-based Monte Carlo methods. Several approaches to learning from data are covered, including conditional models for discriminative learning.
Prerequisites & course information
Introduction to statistical machine learning with probabilistic generative models. Studies efficient inference algorithms based on optimization-based variational methods, and simulation-based Monte Carlo methods. Several approaches to learning from data are covered, including conditional models for discriminative learning.
Sources
- Course catalogue ↗2026-2027