2016-2017 Graduate Academic Catalogue 
    
    Oct 14, 2019  
2016-2017 Graduate Academic Catalogue [ARCHIVED CATALOG]

[Add to Portfolio]

CS 737 - Machine Learning

(3.00 cr.)

Prerequisite: CS 703 . Introduces core machine learning models and algorithms for classification, regression, clustering, and dimensionality reduction. The course focuses on both understanding the theory of learning approaches, and effectively using them to solve real-world data science problems. Topics include least squares methods, linear classification, support vector machines, Bayesian networks and inference, the EM algorithm, and kernel methods.



[Add to Portfolio]