Data-Driven Science EngineeringBrunton, S.L., & Kutz, J.N. (2021). Data-driven science and engineering (2nd ed.). Cambridge University Press. https://go.openathens.net/redirector/nu.edu?url=https://www.cambridge.org/core/books/datadriven.science.and.engineering/77D52B171B60A496EAFE4DB662ADC36E
Read sections 4.1 Classic Curve Fitting and 4.2 Nonlinear and Gradient Descent. These sections cover the mathematical foundation found in the algorithms that run machine learning, deep learning, and AI.