If you are trying to learn the nuts-and-bolts behind the machinery of Machine Learning (ML), like I am, then this is a nice, short book to dive into. Don't let the brevity of the book fool you, though. This book is 130 pages of pure rubix cube type thinking. This book takes a bit of work to digest, and I am still trying to assimilate Chapters 1 and 2, to be honest. Nevertheless, I feel that great things will come from persistence in understanding this material, as it has caused Cindy and I to ponder what exactly constitutes the word 'Intelligence' in 'Artificial Intelligence (AI)'; and further, is Machine Learning truly a waypoint on the path to AI or AGI (Artificial General Intelligence)?