Calculus - Math for Machine Learning

In this video, W&B’s Deep Learning Educator Charles Frye covers the core ideas from calculus that you need in order to do machine learning. In particular, we’ll see a different way of thinking about calculus -- based on linear approximations -- that makes thinking about vector- and matrix-valued derivatives easier. Then, we’ll talk about the gradient descent algorithm, which is ubiquitous in machine learning, and how it arises naturally from thinking this way about calculus, and briefly touch on how calcul