Data Mining in 20 Minutes Coffee Book Series

Worth every page. I have already recommended it to two colleagues.

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 index and cross-references are surprisingly good, which matters for a book I will come back to. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. An easy five stars from me. I look forward to whatever the author writes next.

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. The author is unusually honest about where the simplifications break down, which I appreciated. 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.

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

I came to this book already familiar with the basics, and it still had plenty to offer. A couple of chapters felt like they could have been merged, but that is a minor complaint. I particularly liked the way the author builds up from simple cases before introducing the harder material. A couple of chapters felt like they could have been merged, but that is a minor complaint. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.