Calculus: Early Transcendentals, James Stewart, 2015 (Cengage Learning) - A standard college calculus textbook providing a comprehensive and rigorous explanation of partial derivatives, including definitions, computational rules, and geometric interpretations.
Mathematics for Machine Learning, Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, 2020 (Cambridge University Press)DOI: 10.1017/9781108679989 - This textbook provides the mathematical foundations for machine learning, explaining partial derivatives in the context of cost functions, gradients, and optimization.
Deep Learning, Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016 (MIT Press) - A foundational textbook in deep learning, offering a clear review of partial derivatives and their significance for machine learning model optimization.