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Apr 14, 2025
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2017-2018 Graduate Course Catalog [ARCHIVED CATALOG]
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MAT 695 - Fundamentals of Data ScienceCollege of Arts and Sciences
3 credit(s) At least 1x fall or spring
Double Numbered with: MAT 495
Fundamental methods for data science, such as regression, linear discriminant analysis, k-nearest neighbors, support vector machine, k-means, principal component analysis, and nonlinear dimension reduction. Performance evaluation and model selection. Additional work required of graduate students.
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