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Oct 15, 2024
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ARCHIVED 2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]
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MATH 350 - Data Analytics4.00 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 .
Click here for the schedule of classes.
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