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