Introduction to Scientific Machine Learning 1: Deep Learning as Function Approximation

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Now these lectures and notes serve as a standalone book resource. https://github.com/SciML/SciMLBook Chris Rackauckas, Massachusetts Institute of Technology Additional information on these topics can be found at: https://sciml.ai/ and other Julia programming language sites Many of these descriptions originated on https://www.stochasticlifestyle.com/