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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.
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Parallel Computing for Data Science, Norman Matloff
- Taal
- Jaar van publicatie
- 2015
- product-detail.submit-box.info.binding
- (Hardcover)
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- Titel
- Parallel Computing for Data Science
- Ondertitel
- With Examples in R, C++ and Cuda
- Taal
- Engels
- Auteurs
- Norman Matloff
- Uitgever
- CRC Press
- Jaar van publicatie
- 2015
- Formaat
- Hardcover
- Aantal pagina's
- 328
- ISBN13
- 9781466587014
- Reeks
- Beoordeling
- 4,65 van 5
- Aantekening
- 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.