Mth 563 Computational Methods for Data Science
A comprehensive introduction to computationally efficient linear algebra-based methods in terms of algorithms, theory, and their implementation for solving linear and nonlinear problems, focusing on ones that appear in a variety of Data Science, Machine Learning and Computational Mathematics applications.
Prerequisite
Knowledge of algorithmic aspects of linear algebra at the level of
Mth 261