A review is one perspective. Compare what readers say with the synopsis, publication details, and your own interests.
Try a topic plus an author, or use an ISBN for an edition. Need help choosing?
2507 books to explore · Review entries are shown where available.
ANOTHER PERSPECTIVE
From the review collection
Reader review4 / 5
Almost excellent
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. There is a section near the end that ties several earlier ideas together in a way I had not seen before. The balance between theory and practice is well judged; neither side dominates. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.
A useful guide. The examples assume a particular environment, but that is fixable.
There is a particular kind of technical book that is dense without being difficult, and this is one of them. The writing is direct and does not waste space on filler, which I value in a technical book. A couple of chapters felt like they could have been merged, but that is a minor complaint. 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.
Solid and well-organised. A couple of chapters dragged a little.
A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. A couple of chapters felt like they could have been merged, but that is a minor complaint. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Good value for the price and worth the time it takes to work through properly.
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 code samples assume a particular environment, which took a bit of fiddling to get running properly. The chapters on data visualization 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 data visualization.
Outstanding. I kept finding reasons to come back to it.
A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. Some of the material is available elsewhere, but rarely presented this clearly. Some terminology is introduced without much ceremony; I had to look a few things up along the way. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.
Very good, with a few caveats. The core material is strong.
I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. The code samples assume a particular environment, which took a bit of fiddling to get running properly. 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. Recommended, with the caveat that it is not a gentle introduction.
