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Probabilistic Data Structures and Algorithms for Big Data Applications by [Andrii Gakhov]

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Probabilistic Data Structures and Algorithms for Big Data Applications [Print Replica] Kindle Edition

4.3 out of 5 stars 8 ratings

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Product description

About the Author

Andrii Gakhov is a mathematician and software engineer holding a Ph.D. in mathematical modeling and numerical methods. He has been a teacher in the School of Computer Science at V. Karazin Kharkiv National University in Ukraine for a number of years and currently works as a software practitioner for ferret go GmbH, the leading community moderation, automation, and analytics company in Germany. His fields of interests include machine learning, stream mining, and data analysis. --This text refers to an out of print or unavailable edition of this title.

Product details

  • ASIN : B07MYKTY8W
  • Publisher : gakhov; 1st edition (18 February 2019)
  • Language : English
  • File size : 10785 KB
  • Simultaneous device usage : Unlimited
  • Text-to-Speech : Not enabled
  • Enhanced typesetting : Not Enabled
  • X-Ray : Not Enabled
  • Word Wise : Not Enabled
  • Print length : 220 pages
  • Customer Reviews:
    4.3 out of 5 stars 8 ratings
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4.3 out of 5 stars
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Barna Kovacs
5.0 out of 5 stars Interesting and readable book
Reviewed in Germany on 20 April 2019
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Ramesh Gupta
5.0 out of 5 stars Proper Packaging and Good Condition of the Book.
Reviewed in India on 18 May 2020
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Kindle Customer
5.0 out of 5 stars An excellent introduction to a fascinating topic.
Reviewed in the United States on 10 October 2019
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