CMOR 303 - MATRIX ANALYSIS DATA SCIENCE
Long Title: MATRIX ANALYSIS FOR DATA SCIENCE
Department: Comp Appl Math Operations Rsch
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Distribution Group: Distribution Group III
Credit Hours: 3
Restrictions: Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Description: 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)