We a good story
Quick delivery in the UK

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 variables" matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.

Show more
  • Language:
  • English
  • ISBN:
  • 9781466587014
  • Binding:
  • Hardback
  • Pages:
  • 328
  • Published:
  • June 3, 2015
  • Dimensions:
  • 241x166x23 mm.
  • Weight:
  • 626 g.
Delivery: 2-4 weeks
Expected delivery: August 3, 2025

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 variables" matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.

User ratings of Parallel Computing for Data Science



Find similar books
The book Parallel Computing for Data Science can be found in the following categories:

Join thousands of book lovers

Sign up to our newsletter and receive discounts and inspiration for your next reading experience.