Reader reviews

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

This is the third book I have read on computer graphics this year, and it is comfortably the best of them. It is denser than the page count suggests, and I found myself slowing down around the middle. The writing is direct and does not waste space on filler, which I value in a technical book. The code samples assume a particular environment, which took a bit of fiddling to get running properly. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. It is denser than the page count suggests, and I found myself slowing down around the middle. This is the book I wish had existed when I started working with graphics.

Finally, a book that treats ai & machine learning with the care it deserves.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The balance between theory and practice is well judged; neither side dominates. The book rewards careful reading. Skimming it would be a mistake. Worth the money and the reading time, without hesitation.

I got a lot out of this, even if a few sections felt rushed.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The author is unusually honest about where the simplifications break down, which I appreciated. Solid, and I would buy another book from this author without hesitation.

A worthwhile addition to my shelf, with realistic expectations.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. A few of the examples could be more realistic, but the underlying points come across clearly. The author is unusually honest about where the simplifications break down, which I appreciated. Solid, and I would buy another book from this author without hesitation.

Not for me. The pacing did not work and I struggled to finish 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 examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The writing is direct and does not waste space on filler, which I value in a technical book. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. I would look elsewhere unless you have a specific reason to need this particular title.