Sep 19, 2020  
ARCHIVED 2019-2020 Undergraduate Catalog 
    
ARCHIVED 2019-2020 Undergraduate Catalog [ARCHIVED CATALOG]

MATH 350 - Data Analytics

4.00 credit hours
An overview of the field of statistical learning. Survey of techniques for predictive analytics including model selection and validation methods, linear and non-linear models and supervised and unsupervised learning. Implementation of all techniques will employ appropriate software.

Prerequisite(s): MATH 260  or MATH 340 ; CSCE 210 .


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