is specifically dedicated to how derivatives apply to higher dimensions in ML. The Matrix Calculus You Need for Deep Learning
If you are interested in Deep Learning, the is the most critical concept. Neural networks are essentially nested functions: calculus for machine learning pdf link
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: Lecture notes from an course that focuses on the extensions of differential calculus to vector spaces and optimization [3, 11]. Math for Machine Learning: Calculus Refresher