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Parallel Computing for Data Science

- With Examples in R, C++ and CUDA

About Parallel Computing for Data Science

This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic "n observations, p varia

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  • Language:
  • English
  • ISBN:
  • 9780367738198
  • Binding:
  • Paperback
  • Pages:
  • 328
  • Published:
  • December 17, 2020
  • Dimensions:
  • 156x234x0 mm.
  • Weight:
  • 650 g.
Delivery: 1-2 weeks
Expected delivery: December 6, 2024

Description of Parallel Computing for Data Science

This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic "n observations, p varia

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