Numerical Methods for Data Science

This course introduces numerical methods and statistics as a discipline of analyzing data i.e. estimating errors, modeling relationships between two or more variables, interpretation of the results. Concepts of machine learning and big data analytics will be introduced. Students will use industry standard tools like R and SAS. Prerequisites: CS-531 or CS-524 or exemption. (3)

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