: Determining how small changes in inputs or parameters affect the final output [2].
At its core, machine learning aims to minimize a —a measure of how wrong the model’s predictions are. Calculus allows us to understand how changing the model's parameters (weights and biases) affects this loss.
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong. calculus for machine learning pdf link
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This comprehensive guide provides an introduction to the mathematical foundations of machine learning, with a focus on calculus. The PDF covers topics such as: : Determining how small changes in inputs or
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Whether you are building linear regression models or training deep neural networks, understanding the mathematics behind the algorithms is crucial for debugging, optimizing, and advancing in the field of AI. 1. Why Calculus Matters in Machine Learning