Courses of Study 2018-2019 
    
    Nov 22, 2019  
Courses of Study 2018-2019 [ARCHIVED CATALOG]

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CS 6241 - Numerical Methods for Data Science


     
Spring. 3 credits. Student option grading.

Prerequisite: strong background in linear algebra, prior exposure to numerical methods.

A. Benson.

A discussion of numerical methods in the context of data analysis, machine learning, and network science problems. The course will focus on matrix and tensor decompositions, numerical algorithms for graph data, least squares, regression, and iterative methods.



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