Calculus in Machine Learning: Why it Works

Calculus is one of the core mathematical concepts in machine learning that permits us to understand the internal workings of different machine learning algorithms. One of the important applications of calculus in machine learning is the gradient descent algorithm, which, in tandem with backpropagation, allows us to train a neural network model. In this tutorial, you will discover the integral role of calculus in machine learning. Calculus in Machine Learning: Why it Works Photo by Hasmik Ghazaryan Olson, some rights reserved. A neural network model, whether shallow or deep, implements a function that maps a set of inputs to expected outputs.