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MATH 569D - Linear Algebra for Data Science: Theoretical Foundations

  • 1 credit
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Theoretical development of linear algebraic tools for data science; theorem and proof driven.

Prerequisite

MATH 569C (Linear Algebra for Data Science: Matrix Factorizations and Transformations)

Important Information

For more information about this course, please contact Academic Success Coordinator, Paige Kanatous.