Data Mining and Machine Learning Essentials

An enjoyable and informative read, though it could have been shorter.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Solid, and I would buy another book from this author without hesitation.

Almost excellent. A second edition could easily push it to five stars.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Four stars, and I suspect a second edition could easily push it to five.

Good in places. I would borrow it before buying if you can.

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 index and cross-references are surprisingly good, which matters for a book I will come back to. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. Three stars feels about right. It will stay on my shelf, but it will not be the first one I reach for.