Reader reviews

Excellent from start to finish. No filler, no padding.

I had been on the fence about this one for a while, and I should have bought it sooner. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Some of the material is available elsewhere, but rarely presented this clearly. I found myself making notes in the margins, which is always a good sign. An easy five stars from me. I look forward to whatever the author writes next.

An enjoyable and informative read, though it could have been shorter.

This is the third book I have read on game programming this year, and it is comfortably the best of them. The explanations are careful without being condescending, which is a difficult balance to strike. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. Recommended, with the caveat that it is not a gentle introduction.

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

I came to this book already familiar with the basics, and it still had plenty to offer. The index and cross-references are surprisingly good, which matters for a book I will come back to. The index and cross-references are surprisingly good, which matters for a book I will come back to. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. One of those books that pays for itself within the first few chapters. Highly recommended.

A useful guide. The examples assume a particular environment, but that is fixable.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The code samples assume a particular environment, which took a bit of fiddling to get running properly. It is denser than the page count suggests, and I found myself slowing down around the middle. Recommended, with the caveat that it is not a gentle introduction.

A worthwhile addition to my shelf, with realistic expectations.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. Some of the material is available elsewhere, but rarely presented this clearly. The progression from chapter to chapter is well thought out; nothing feels out of order. Some of the material is available elsewhere, but rarely presented this clearly. A good addition to a technical library, as long as you know what you are buying.

Strong content, uneven pacing. I would still recommend it.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.