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Apache Mahout Essentials

You're reading from   Apache Mahout Essentials Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783554997
Length 164 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Jayani Withanawasam Jayani Withanawasam
Author Profile Icon Jayani Withanawasam
Jayani Withanawasam
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Toc

Index

A

  • Apache Mahout
    • about / Open source or commercial, Apache Mahout
    • features / Apache Mahout
    • setting up / Setting up Apache Mahout
    • URL, for downloading latest release / Setting up Apache Mahout
    • URL, for information on setup / Setting up Apache Mahout
    • working / How Apache Mahout works?
    • high-level design / The high-level design
    • distribution / The distribution
    • reasons, for using / When is it appropriate to use Apache Mahout?
    • references / The Apache Mahout references
    • with Hadoop / Apache Mahout with Hadoop
  • Apache Spark integration, with Mahout
    • URL / The integration of Apache Spark
  • application manager
    • about / The application manager
  • application master
    • about / The application master
  • Area Under the Curve (AUC) / The area under the curve

B

  • ball K-Means step
    • about / The ball K-Means step
    • parameters / The ball K-Means step
  • batch processing
    • versus stream processing / Batch processing versus stream processing
  • ...
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