Grokking Machine Learning

The book starts off with a look at what machine learning is and what sorts of things it can be used for. The actual subject of the book gets started at Chapter 3 where we meet linear regression. I'm not at all sure I class regression as ML - it is more classical statistics. What is interesting about this presentation is that the regression problem is solved using gradient descent, i.e an iterative algorithm like many others in machine learning. This is a good idea in that it is a simple way into the idea of iterative learning.