CMOR 303: MATRIX ANALYSIS DATA SCIENCE

Spring 2024 · Section 001 · CRN 25448

Solution of linear systems and linear least squares problems. Eigenvalue problem and singular value decomposition. Introduction to gradient based methods. Applications to data science. Recommended Prerequisite(s): (MATH 212 or MATH 222) and (CAAM 210 or CMOR 220 or COMP 140 or STAT 405)

Credits
3
Instructors
Anastasiya Protasov

Browse courses · Build a schedule