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Parametry
- 328 stránek
- 12 hodin čtení
Více o knize
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.
Nákup knihy
Parallel Computing for Data Science, Norman Matloff
- Jazyk
- Rok vydání
- 2015
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Doručení
Platební metody
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- Titul
- Parallel Computing for Data Science
- Podtitul
- With Examples in R, C++ and Cuda
- Jazyk
- anglicky
- Autoři
- Norman Matloff
- Vydavatel
- CRC Press
- Rok vydání
- 2015
- Vazba
- pevná
- Počet stran
- 328
- ISBN13
- 9781466587014
- Série
- Hodnocení
- 4,65 z 5
- Anotace
- 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.