Leave the familiar shelf behind.

Exactly the book I needed. Straight to the point and genuinely useful.

I came to this book already familiar with the basics, and it still had plenty to offer. There is a section near the end that ties several earlier ideas together in a way I had not seen before. The explanations are careful without being condescending, which is a difficult balance to strike. The author is unusually honest about where the simplifications break down, which I appreciated. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Solid and well-organised. A couple of chapters dragged a little.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Solid, and I would buy another book from this author 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.