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Mahout in Action by Ellen Friedman, Ted Dunning, Robin Anil, Sean Owen

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Chapter 1. Meet Apache Mahout

This chapter covers

  • What Apache Mahout is, and where it came from
  • A glimpse of recommender engines, clustering, and classification in the real world
  • Setting up Mahout

As you may have guessed from the title, this book is about putting a particular tool, Apache Mahout, to effective use in real life. It has three defining qualities.

First, Mahout is an open source machine learning library from Apache. The algorithms it implements fall under the broad umbrella of machine learning or collective intelligence. This can mean many things, but at the moment for Mahout it means primarily recommender engines (collaborative filtering), clustering, and classification.

It’s also scalable. Mahout aims to be the machine ...

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