Leave the familiar shelf behind.

This is the one to get if you are serious about ai & machine learning.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The progression from chapter to chapter is well thought out; nothing feels out of order. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. This is the book I wish had existed when I started working with ai & machine learning.

Worth every page. I have already recommended it to two colleagues.

This is the third book I have read on science fiction & fantasy this year, and it is comfortably the best of them. The author clearly knows the subject deeply and has thought hard about how to teach it. The balance between theory and practice is well judged; neither side dominates. Worth the money and the reading time, without hesitation.

Solid and well-organised. A couple of chapters dragged a little.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The author clearly knows the subject deeply and has thought hard about how to teach it. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Solid, and I would buy another book from this author without hesitation.