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Fast Data Processing with Spark 2 – Third Edition

fast-data-processing-with-spark-2-3rd-edition

eBook Details:

  • Paperback: 274 pages
  • Publisher: WOW! eBook; 3rd Revised edition (March 6, 2017)
  • Language: English
  • ISBN-10: 1785889273
  • ISBN-13: 978-1785889271

eBook Description:

Fast Data Processing with Spark 2, 3rd Edition: Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects.

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R: Unleash Machine Learning Techniques

r-unleash-machine-learning-techniques

eBook Details:

  • Paperback: 1123 pages
  • Publisher: WOW! eBook (October 26, 2016)
  • Language: English
  • ISBN-10: 1787127340
  • ISBN-13: 978-1787127340

eBook Description:

R: Unleash Machine Learning Techniques: Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner.

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Internet of Things with Arduino Cookbook

internet-of-things-with-arduino-cookbook

eBook Details:

  • Paperback: 198 pages
  • Publisher: WOW! eBook (November 4, 2016)
  • Language: English
  • ISBN-10: 1785286587
  • ISBN-13: 978-1785286582

eBook Description:

Internet of Things with Arduino Cookbook: Over 60 recipes will help you build smart IoT solutions and surprise yourself with captivating IoT projects you thought only existed in Bond movies

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Julia for Data Science

julia-for-data-science

eBook Details:

  • Paperback: 348 pages
  • Publisher: WOW! eBook (October 6, 2016)
  • Language: English
  • ISBN-10: 1785289691
  • ISBN-13: 978-1785289699

eBook Description:

Julia for Data Science: Explore the world of data science from scratch with Julia by your side

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Spark for Data Science

spark-for-data-science

eBook Details:

  • Paperback: 344 pages
  • Publisher: WOW! eBook (October 6, 2016)
  • Language: English
  • ISBN-10: 1785885650
  • ISBN-13: 978-1785885655

eBook Description:

Spark for Data Science: Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0

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