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Focusing on parallel data structures and algorithms, this book serves as a comprehensive guide for those interested in parallel computing within data science. It equips readers with the skills to write effective parallel code across multiple programming languages and explores various R packages and tools. The content includes discussions on the classic "n observations, p variables" matrix format, alongside common data structures, complemented by numerous examples that highlight the challenges faced in parallel programming.
Zakup książki
Parallel Computing for Data Science, Norman Matloff
- Język
- Rok wydania
- 2015
- Oprawa
- (twarda)
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- Tytuł
- Parallel Computing for Data Science
- Podtytuł
- With Examples in R, C++ and Cuda
- Język
- angielski
- Autorzy
- Norman Matloff
- Wydawca
- CRC Press
- Rok wydania
- 2015
- Oprawa
- twarda
- Liczba stron
- 328
- ISBN13
- 9781466587014
- Seria
- Kategorie
- Tagi
- Ocena
- 4,65 z 5
- Opis
- Focusing on parallel data structures and algorithms, this book serves as a comprehensive guide for those interested in parallel computing within data science. It equips readers with the skills to write effective parallel code across multiple programming languages and explores various R packages and tools. The content includes discussions on the classic "n observations, p variables" matrix format, alongside common data structures, complemented by numerous examples that highlight the challenges faced in parallel programming.