WebGPU Data Visualization Cookbook (2nd Edition)

Almost excellent. A second edition could easily push it to five stars.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. A couple of chapters felt like they could have been merged, but that is a minor complaint. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

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

I have been working with ai & machine learning for a few years now and I still found plenty here that was new to me. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Solid, and I would buy another book from this author without hesitation.

The clearest explanation of ai & machine learning I have come across.

I have been working with ai & machine learning for a few years now and I still found plenty here that was new to me. The author is unusually honest about where the simplifications break down, which I appreciated. Some of the material is available elsewhere, but rarely presented this clearly. The author clearly knows the subject deeply and has thought hard about how to teach it. One of those books that pays for itself within the first few chapters. Highly recommended.