Calculus Books for Machine Learning
Knowledge of calculus is not required to get results and solve problems in machine learning or deep learning.
However, knowing some calculus will help you in a number of ways, such as in reading mathematical notation in books and papers, and in understanding the terms used to describe fitting models like “gradient,” and in understanding the learning dynamics of models fit via optimization such as neural networks.
Calculus is a challenging topic as taught at a university level, but you don’t need to know all of calculus, just a handful of terms and methods related to numerical function optimization, central to fitting algorithms like neural networks. And the best way to get a handle on calculus is from books.