2017-2018 Academic Catalog 
    
    Apr 26, 2024  
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2017-2018 Academic Catalog [Archived Catalog]

MATH 508 - Machine Learning

Credits: Three (3)
Prerequisite: MATH 316
Corequisite: MATH 316

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. A presentation of one project is required for the course.
Note: This course is for graduate students only
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