Generative AI in 20 Minutes: (Coffee Break Series)

Better than I expected. Rare to find a technical book this well judged.

This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. I particularly liked the way the author builds up from simple cases before introducing the harder material. The writing is direct and does not waste space on filler, which I value in a technical book. The code samples assume a particular environment, which took a bit of fiddling to get running properly. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Good book. The writing is direct and the author is honest about limits.

I had been on the fence about this one for a while, and I should have bought it sooner. The index and cross-references are surprisingly good, which matters for a book I will come back to. The writing is direct and does not waste space on filler, which I value in a technical book. The index and cross-references are surprisingly good, which matters for a book I will come back to. Four stars, and I suspect a second edition could easily push it to five.

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

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. I particularly liked the way the author builds up from simple cases before introducing the harder material. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. This is the book I wish had existed when I started working with ai & machine learning.