Calculus

A bee colony has a problem. They need to optimise the hive. More honey, less effort, best paths, minimal wax. To solve it, they are going to need calculus. And so are you.

This book takes you from limits and derivatives all the way to multidimensional gradient descent, the Hessian, and the Adam optimiser. That last one is literally how modern neural networks learn. You will build a cost function, implement gradient descent, and connect it all to a neural network. Through bees.

I know that sounds ridiculous. But by the time you finish, you will know more calculus than most ML engineers, and you will actually remember it because the bees made it stick.