Calculus, Derivatives, Limits, Machine Learning, Data Science.
on gradient-based learning, where model parameters are updated based on the gradient of a loss function. Calculus provides the mathematical framework for computing these gradients efficiently. Convex Optimization: Many machine learning problems involve convex optimization, where the objective