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CS92PROD
Applied Linear Algebra
MATH 247
Fall 2024
Section: 01  

This is a course on topics in linear algebra that are the foundations of modern data science and machine learning. Topics include dimensionality reductions, matrix decompositions, elementary spectral theory, multivariate optimizations, and their applications to machine learning such as gradient descent and support vector machines.
Credit: 1 Gen Ed Area Dept: NSM MATH
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: (MATH221 OR MATH223) AND MATH222
Fulfills a Requirement for: (MATH)
Past Enrollment Probability: 75% - 89%

Last Updated on NOV-12-2024
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