Reader reviews

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

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The code samples assume a particular environment, which took a bit of fiddling to get running properly. I particularly liked the way the author builds up from simple cases before introducing the harder material. The explanations are careful without being condescending, which is a difficult balance to strike. This is the book I wish had existed when I started working with ai & machine learning.

Strong content, uneven pacing. I would still recommend it.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. It is denser than the page count suggests, and I found myself slowing down around the middle. It is denser than the page count suggests, and I found myself slowing down around the middle. A good addition to a technical library, as long as you know what you are buying.

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

I came to this book already familiar with the basics, and it still had plenty to offer. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

Well worth picking up if you already have the basics.

I have been working with computational biology for a few years now and I still found plenty here that was new to me. There is a section near the end that ties several earlier ideas together in a way I had not seen before. The book rewards careful reading. Skimming it would be a mistake. Four stars, and I suspect a second edition could easily push it to five.

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 avoids over-explaining, which keeps the pace up but means you need to pay attention. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. An easy five stars from me. I look forward to whatever the author writes next.

An enjoyable and informative read, though it could have been shorter.

I came to this book already familiar with the basics, and it still had plenty to offer. The balance between theory and practice is well judged; neither side dominates. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Solid, and I would buy another book from this author without hesitation.