Reader reviews

Excellent from start to finish. No filler, no padding.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The progression from chapter to chapter is well thought out; nothing feels out of order. The balance between theory and practice is well judged; neither side dominates. 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 bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. Some of the material is available elsewhere, but rarely presented this clearly. A few of the examples could be more realistic, but the underlying points come across clearly. There is a section near the end that ties several earlier ideas together in a way I had not seen before. This is the book I wish had existed when I started working with databases & big data.

Genuinely excellent — I finished it in a week and immediately started again.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. I found myself making notes in the margins, which is always a good sign. The code samples assume a particular environment, which took a bit of fiddling to get running properly. 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.

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 exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The progression from chapter to chapter is well thought out; nothing feels out of order. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. This is the book I wish had existed when I started working with ai & machine learning.

Good value. Not perfect, but I would buy another book from this author.

This is the third book I have read on javascript this year, and it is comfortably the best of them. The chapters on javascript are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. It is denser than the page count suggests, and I found myself slowing down around the middle. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

Finally, a book that treats ai & machine learning with the care it deserves.

This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. The author is unusually honest about where the simplifications break down, which I appreciated. This is the book I wish had existed when I started working with ai & machine learning.