MATH 751 - Linear Algebra for Data Science

Credits 3

Linear algebra with applications to core machine learning algorithms. Topics include vector spaces, subspaces, basis, and dimension, matrix operations, eigenvalue and eigenvector analysis, conditioning of matrix operations, singular value decomposition, generalized inverses.

 

Repeat for Credit
N

Requisites
Prerequisite: Math 220 or equivalent. Recommended: Math 551 or Math 515 or equivalent.

Typically Offered
Fall, Summer