Learning Apache Mahout Classification by Ashish Gupta

By Ashish Gupta

Build and customize your individual classifiers utilizing Apache Mahout

About This Book

  • Explore the different sorts of category algorithms on hand in Apache Mahout
  • Create and evaluation your personal ready-to-use type types utilizing genuine global datasets
  • A sensible consultant to difficulties confronted in category with strategies defined in an easy-to-understand manner

Who This ebook Is For

If you're a facts scientist who has a few adventure with the Hadoop atmosphere and desktop studying equipment and wish to attempt out class on huge datasets utilizing Mahout, this booklet is perfect for you. wisdom of Java is essential.

What you'll Learn

  • Apply computing device studying strategies within the sector of classification
  • Categorize the unknown goods by utilizing the class version in Apache Mahout
  • Use the classifier to categorise textual content documents
  • Implement a multilayer perceptron to map units of enter to acceptable output sets
  • Develop the Hidden Markov version for a method with hidden states
  • Build and install an e mail classifier which may are expecting the supply of incoming mail

In Detail

This publication is a pragmatic consultant that explains the class algorithms supplied in Apache Mahout with assistance from real examples. beginning with the advent of category and version evaluate suggestions, we are going to discover Apache Mahout and research why it's a good selection for classification.

Next, you'll know about varied category algorithms and versions akin to the Naïve Bayes set of rules, the Hidden Markov version, and so on.

Finally, in addition to the examples that help you within the production of types, this booklet lets you construct a mail category procedure that may be produced once it truly is constructed. After interpreting this e-book, it is possible for you to to appreciate the idea that of category and a few of the algorithms in addition to the artwork of creating your individual classifiers.

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