Apache Mahout is a project by the Apache Software Foundation to produce free implementations on scalable machine learning algorithms focused primarily in the areas of collaborative filtering, clustering and classification. Mahout also provides Java Libraries and many of the implementations use Hadoop.
Apache Mahout Cookbook is a step-by-step cookbook which can be used to configure Mahout with NetBeans and Maven. The book features different ways to configure and customize cluster algorithms and uses MapReduce for data mining problems. It not only provides an insight into logistic regressions, but also teaches various ways to understand text mining of raw data with naive bayes.
The book further delves deeper into designing and storing queries into Mahout from an external RDMS system. It is a balanced mixture of theory and practical examples so as to get the developers through the concept.
Look for the book here: http://bit.ly/KmwfX3
Vogue of Thoughts 