Ever wondered how a neural network actually learns ? The secret is calculus. From gradient descent to backpropagation, calculus is the engine driving every optimization in machine learning.
This comprehensive guide covers the key concepts in calculus, including limits, derivatives, gradient, and multivariable calculus. It also provides an introduction to optimization techniques and their applications in machine learning. calculus for machine learning pdf link
Some recommended textbooks on calculus for machine learning include: Ever wondered how a neural network actually learns