Applied Mathematics
AM 160 Introduction to Scientific Machine Learning
Introduction to scientific machine learning covering dimension reduction techniques for scientific data, modern methods in sparse regression and compressed sensing, deep neural networks for modeling real-life systems, and neural ordinary differential equations.