Craig Dickson’s Reviews > Why Machines Learn: The Elegant Math Behind Modern AI > Status Update

This is so good. A really engaging explanation of mathematical concepts that underpin deep learning networks (so far we've covered embedding, gradient descent, probability, k-nearest neighbours algorithms and more).

Ananthaswamy is really great at conveying how these ideas work through text, with only occasional formulas, it's honestly a masterclass in science communication.