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Apr 24, 2025
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OREM 7332 - Methods in Machine Learning
Credits: 3
Introduces optimization methods in machine learning. Students learn how to derive optimization formulations used in predictive modeling and implement computational algorithms to solve those problems. Topics include regression, classification, clustering, dimension-reduction methods, and descent algorithms such as gradient descent and Newton’s method. Prerequisites: Knowledge of linear algebra (MATH 3304 or equivalent or enrollment in the OREM MSOR program). Corequisite: OREM 7370 . Restricted to Lyle majors only.
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