2017-2018 Academic Catalog 
    
    Apr 25, 2024  
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2017-2018 Academic Catalog [Archived Catalog]

MATH 408 - Machine Learning

Credits: Three (3)
Prerequisite: MATH 302 or MATH 303
This course covers hot topics in machine learning using R/Python. Topics include regression splines, generalized additive models, tree based models, support vector machines, principal components analysis and clustering methods. Project based learning is used to help students develop effective problem solving skills and effective collaboration skills.
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