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CS 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. Prerequisite: CS 206 or consent of instructor.

Level: Graduate
Units: 4
Category: Unknown
Core for: None
Prerequisites: No Prerequisites
Catalogue: Editor's Office
UCI Course Enrollment History
Year Fall Winter Spring Summer
2017   Padhraic Smyth
2016   Padhraic Smyth
2015   Padhraic Smyth
2014     Padhraic Smyth
2013   Padhraic Smyth
2012   Padhraic Smyth
2011   Padhraic Smyth
2010     Alexander Ihler