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ANOTHER PERSPECTIVE
From the review collection
Reader review5 / 5
Outstanding introduction
Finally, a book that treats analytics with the care it deserves.
I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The writing is direct and does not waste space on filler, which I value in a technical book. 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. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.
I have read a lot of books on this subject and this is the clearest.
I have been working with graphics & gpu for a few years now and I still found plenty here that was new to me. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. I have already recommended it to two colleagues and will recommend it to more.
Rebecca SandersComputer science student · Tel Aviv, IL
It does the job, though it took some patience to get through.
I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. Some terminology is introduced without much ceremony; I had to look a few things up along the way. A couple of chapters felt like they could have been merged, but that is a minor complaint. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Three stars feels about right. It will stay on my shelf, but it will not be the first one I reach for.
Genuinely excellent — I finished it in a week and immediately started again.
A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. It is denser than the page count suggests, and I found myself slowing down around the middle. 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 was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. It is denser than the page count suggests, and I found myself slowing down around the middle. Some of the material is available elsewhere, but rarely presented this clearly. The code samples assume a particular environment, which took a bit of fiddling to get running properly. Recommended, with the caveat that it is not a gentle introduction.
Better than I expected. Rare to find a technical book this well judged.
I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. The writing is direct and does not waste space on filler, which I value in a technical book. The writing is direct and does not waste space on filler, which I value in a technical book. This is the book I wish had existed when I started working with psychology.
