Data Mining and Machine Learning Essentials

Very good, with a few caveats. The core material is strong.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The balance between theory and practice is well judged; neither side dominates. Solid, and I would buy another book from this author without hesitation.

Genuinely excellent — I finished it in a week and immediately started again.

I have been working with ai & machine learning for a few years now and I still found plenty here that was new to me. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. I particularly liked the way the author builds up from simple cases before introducing the harder material. I have already recommended it to two colleagues and will recommend it to more.

Well worth picking up if you already have the basics.

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. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. A good addition to a technical library, as long as you know what you are buying.