Reader reviews

Three stars feels about right. Useful, but not essential.

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 early chapters move quickly through material I already knew, but the later sections were genuinely new to me. A few of the examples could be more realistic, but the underlying points come across clearly. The explanations are careful without being condescending, which is a difficult balance to strike. Fine, but there are stronger books on the same subject if you look around.

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

I had been on the fence about this one for a while, and I should have bought it sooner. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. A good addition to a technical library, as long as you know what you are buying.

I have read a lot of books on this subject and this is the clearest.

I came to this book already familiar with the basics, and it still had plenty to offer. I found myself making notes in the margins, which is always a good sign. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. Worth the money and the reading time, without hesitation.

This is the one to get if you are serious about quantum computing.

I had been on the fence about this one for a while, and I should have bought it sooner. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. 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. I have already recommended it to two colleagues and will recommend it to more.

Outstanding. I kept finding reasons to come back to it.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The chapters on algorithms are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. The author clearly knows the subject deeply and has thought hard about how to teach it. It is denser than the page count suggests, and I found myself slowing down around the middle. An easy five stars from me. I look forward to whatever the author writes next.