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CS 273A: Machine Learning

Computational approaches to learning algorithms for classifications, regression, and clustering. Emphasis is on discriminative classification methods such as decision trees, rules, nearest neighbor, linear models, and naive Bayes. Prerequisites: CS 206 and 271.

Level: Graduate
Units: 4
Core for: Graduate COMPSCI
Prerequisites: No Prerequisites
Catalogue: Editor's Office
UCI Course Enrollment History
Year Fall Winter Spring Summer
2017 Sameer Singh
Eric Mjolsness
2016 Alexander Ihler
2015 Eric Mjolsness
2014   Alexander Ihler
2013 Alexander Ihler
2012 Alexander Ihler
2011 Max Welling
2010   Max Welling