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DSCI 569B - Linear Algebra for Data Science: Geometric Techniques for Data Reduction

  • 1 credit
View available sections
Projections, data fitting and over-determined linear systems, eigenvectors and eigenvalues, the spectral theorem for symmetric matrices, data driven bases, principal component analysis, the singular value decomposition.
Graduate standing. Credit allowed for only one of the following: DSCI 569B, MATH 569B, or MATH 580A3.

Prerequisite

DSCI 569A or MATH 569A.

Textbooks and Materials

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

Instructors

Michael Kirby

9704916850 | kirby@math.colostate.edu

Learn more at: http://www.math.colostate.edu/~kirby

Colorado State University
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