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Parameter
- 328 Seiten
- 12 Lesestunden
Mehr zum Buch
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.
Buchkauf
Parallel Computing for Data Science, Norman Matloff
- Sprache
- Erscheinungsdatum
- 2015
- Einband
- (Hardcover)
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- Titel
- Parallel Computing for Data Science
- Untertitel
- With Examples in R, C++ and Cuda
- Sprache
- Englisch
- Autor*innen
- Norman Matloff
- Verlag
- CRC Press
- Erscheinungsdatum
- 2015
- Einband
- Hardcover
- Seitenzahl
- 328
- ISBN13
- 9781466587014
- Reihe
- Schlagwörter
- Sachbücher, Technologie & Industrie, Wissenschaft & Mathematik, Computer & Internet, Mathematik
- Bewertung
- 4,65 von 5 Sternen
- Beschreibung
- 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.