Data Mining in 20 Minutes Coffee Book Series

A worthwhile addition to my shelf, with realistic expectations.

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 progression from chapter to chapter is well thought out; nothing feels out of order. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. Four stars, and I suspect a second edition could easily push it to five.

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

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. I particularly liked the way the author builds up from simple cases before introducing the harder material. The code samples assume a particular environment, which took a bit of fiddling to get running properly. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Four stars, and I suspect a second edition could easily push it to five.

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

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 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. The writing is direct and does not waste space on filler, which I value in a technical book. One of those books that pays for itself within the first few chapters. Highly recommended.