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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.

Textbooks and Materials

Please check the CSU Bookstore for textbook information. Textbook listings are available about 3 weeks prior to the start of the term.
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