DATA 345 Applied Linear Algebra for Statistical Learning

Students will apply matrix theory to the study and implementation of linear models to problems in data science. Topics include basic matrix theory with applications to optimization, and machine learning.

Credits

4 credit hours.

Prerequisite

MATH 315 or both DATA 245 and MATH 212.

Offered

Fall.