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Parallel Computing for Data Science
- With Examples in R, C++ and CUDA
part of the Chapman & Hall/CRC: The R Series series
- Binding:
- Paperback
- Pages:
- 328
- Published:
- December 17, 2020
- Dimensions:
- 156x234x0 mm.
- Weight:
- 650 g.
Delivery:
1-2 weeks
Expected delivery: January 5, 2025
Extended return policy to January 30, 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 varia
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