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

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Chapter 13. Introduction to classification

This chapter covers

  • Why Mahout is a powerful choice for classification
  • Key classification concepts and terminology
  • The workflow of a typical classification project
  • A step-by-step classification example

Life often presents us with questions that aren’t open-ended but instead ask us to choose from a limited number of options. This relatively simple idea forms the basis for classification—both that done by humans and that done by machines. Classification relies on the categorization of potential answers, and machine-based classification is the automation of such simplified decisions.

This chapter identifies those cases where Mahout is a good approach for classification and explains why it offers ...

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