Matrix Methods in Machine Learning

Catalog description

Description: Introduction to matrix methods and other mathematical tools used in machine learning. Topics include linear equations, matrix factorizations, eigenvalue and singular value decompositions, and real-world applications such as data mining and pattern recognition. May not be used for degree credit with MATH 5533 .