Understand today. Build what’s next.

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The author is unusually honest about where the simplifications break down, which I appreciated. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Worth the money and the reading time, without hesitation.

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.