Data Mining in 20 Minutes Coffee Book Series

Recommended, with the caveat that it is not a gentle introduction.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. A couple of chapters felt like they could have been merged, but that is a minor complaint. 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.

Outstanding. I kept finding reasons to come back to it.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The book rewards careful reading. Skimming it would be a mistake. I particularly liked the way the author builds up from simple cases before introducing the harder material. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Worth the money and the reading time, without hesitation.

I got a lot out of this, even if a few sections felt rushed.

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 exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. 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. A good addition to a technical library, as long as you know what you are buying.