LINEAR ALGEBRA FOR DATA SCIENCE

Catalog description

Explores aspects of Linear Algebra relevant to the rapidly developing field of data science. Combines standard “by hand” approaches to low dimensional systems, with application to high dimensional data via MATLAB projects. Emphasizes vector and matrix algebra, applications to statistics, common matrix decompositions, and principal component analysis. Develops skills in computation, visualization, and communication.