WebGPU Data Visualization Cookbook (2nd Edition)

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. It is denser than the page count suggests, and I found myself slowing down around the middle. It is denser than the page count suggests, and I found myself slowing down around the middle. A good addition to a technical library, as long as you know what you are buying.

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 chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Some of the material is available elsewhere, but rarely presented this clearly. One of those books that pays for itself within the first few chapters. Highly recommended.