Machine learning models rarely have just one input. They deal with thousands or millions of parameters. A partial derivative measures how the function changes with respect to one variable while keeping all other variables constant. 4. Gradients and Directional Derivatives
The gradient points in the direction of the steepest ascent of the function. calculus for machine learning pdf link
Without calculus, neural networks could not update their weights, and models could not improve. It transforms the abstract concept of "learning" into a concrete mathematical problem. Core Calculus Concepts Used in Machine Learning Machine learning models rarely have just one input