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Parametri
- 328pagine
- 12 ore di lettura
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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.
Acquisto del libro
Parallel Computing for Data Science, Norman Matloff
- Lingua
- Pubblicato
- 2015
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- (Copertina rigida)
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- Titolo
- Parallel Computing for Data Science
- Sottotitolo
- With Examples in R, C++ and Cuda
- Lingua
- Inglese
- Autori
- Norman Matloff
- Editore
- CRC Press
- Pubblicato
- 2015
- Formato
- Copertina rigida
- Pagine
- 328
- ISBN13
- 9781466587014
- Serie
- Valutazione
- 4,65 su 5
- Descrizione
- 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.