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Practical Machine Learning: A New Look at Anomaly Detection by [Dunning, Ted, Friedman, Ellen]

Practical Machine Learning: A New Look at Anomaly Detection 1st Edition, Kindle Edition


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Product description

About the Author

Ted Dunning is Chief Applications Architect at MapR Technologies and committer and PMC member of the Apache Mahout, Apache ZooKeeper, and Apache Drill projects and mentor for these Apache projects: Spark, Storm, Stratosphere, and Datafu. He contributed to Mahout clustering, classification, and matrix decomposition algorithms and helped expand the new version of Mahout Math library. Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, built fraud-detection systems for ID Analytics (LifeLock), and has issued 24 patents to date. Ted has a PhD in computing science from University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. Ted is on Twitter at @ted_dunning.

Ellen Friedman is a consultant and commentator, currently writing mainly about big data topics. She is a committer for the Apache Mahout project and a contributor to the Apache Drill project. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics including molecular biology, nontraditional inheritance, and oceanography. Ellen is also co-author of a book of magic-themed cartoons, A Rabbit Under the Hat. Ellen is on Twitter at @Ellen_Friedman.


Product details

  • Format: Kindle Edition
  • File Size: 3398 KB
  • Print Length: 66 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (21 July 2014)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00MQ6RJZA
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #1,160,796 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Amazon.com: 1.6 out of 5 stars 2 reviews
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2.0 out of 5 starsLightweight, disapointing
22 January 2017 - Published on Amazon.com
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1.0 out of 5 starsMore of a "pamphlet" than a "book".
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