Linear algebra

Has the abstract nature of linear algebra ever left you overwhelmed? Same. I spent years watching people give up on ML because some textbook decided that explaining eigenvectors without context was a perfectly reasonable thing to do. So I wrote this book.

You start with a vector. By the end, you have a working movie recommendation system. The same kind Netflix uses. Every chapter teaches you a concept because you actually need it to build the next piece. Dot products, matrices, PCA, SVD, collaborative filtering. None of it is optional and none of it is abstract. You will understand not just how it works but exactly why it works.

If you have ever stared at a covariance matrix and felt nothing, this book will fix that.