MEMS 1300 - LINEAR ALGEBRA FOR MACHINE LEARNING

Minimum Credits: 3
Maximum Credits: 3
Long Description Core concepts from linear algebra that are key for understanding and creating applied machine learning algorithms. Topics include least square approximation, neural networks, and matrix factorization for dimension reduction.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade

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