uwloo

CS 786Probabilistic Inference and Machine Learning

Units
0.50
Level
Graduate
Faculty
Mathematics
Subject
Computer Science

CS 786 as listed in the Fall 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.

Covers the fundamental principles of probabilistic inference and computational learning systems. Topics include Bayes decision and utility theory, Monte Carlo and Markov chain Monte Carlo methods; learning with complete data; Bayesian networks, Markov random fields and factor graphs; models; learning with incomplete data; computational learning and PAC learning theory.

Prerequisites

None listed.

Antirequisites

  • Not completed nor concurrently enrolled in:
    • CS786P

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 42 terms, Fall 2006 to Winter 2024