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If you want a fairly easy read without too many equations, try:

Data Mining: Practical Machine Learning Tools and Techniques (Second Edition) http://www.cs.waikato.ac.nz/~ml/weka/book.html

Which goes nicely with the Weka open source ML toolkit http://www.cs.waikato.ac.nz/ml/weka/

(although it is a good read without the toolkit)

If you want a bit more math, I really like the recent (Oct 2007) book:

Pattern Recognition and Machine Learning by Christopher M. Bishop http://www.amazon.com/Pattern-Recognition-Learning-Informati...

It is nicely self contained, going through all the stats you'll need.

I didn't particularly like the WEKA book, but Bishop's book is excellent.

If you're interested in introductory data mining stuff, I would recommend Tan's Introduction to Data Mining: http://www-users.cs.umn.edu/~kumar/dmbook/index.php

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