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Nov 03, 2024
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MATH 667 - Machine Learning Units: 4 Introduction to machine learning with an emphasis on the underlying mathematics. Topics such as VC dimension, central limit theorem, gradient descent. Applications such as SVM and neural nets.
Prerequisites: MATH 230 and MATH 310; or M.S. Computer Science major. Possible Instructional Methods: Entirely On-ground. Grading: A-F grading only. Cross-listed: CS 667.
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