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CS 6241

Numerical Methods for Data Science

3.0 credits · Graduate

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.

Prerequisites & course information

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

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