2013-2014 Undergraduate and Graduate Bulletin (with addenda) 
    
    Aug 17, 2018  
2013-2014 Undergraduate and Graduate Bulletin (with addenda) [ARCHIVED CATALOG]

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CS-GY 6923 Machine Learning

3 Credits
This course introduces the field of machine learning and covers standard machine-learning techniques, such as decision trees, nearest neighbor, Bayesian methods, support vector machines and logistic regression. Topics: Basic concepts in computational learning theory including the PAC model and VC dimension. Methods for evaluating and comparing machine learning techniques.

Prerequisite(s): Graduate status.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0



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