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Parámetros
- 328 páginas
- 12 horas de lectura
Más información sobre el libro
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
- Idioma
- Publicado en
- 2015
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- Título
- Parallel Computing for Data Science
- Subtítulo
- With Examples in R, C++ and Cuda
- Idioma
- Inglés
- Autores
- Norman Matloff
- Editorial
- CRC Press
- Publicado en
- 2015
- Formato
- Tapa dura
- Páginas
- 328
- ISBN13
- 9781466587014
- Serie
- Etiquetas
- No ficción, Tecnología & Ingeniería, Ciencia y Matemáticas, Ordenadores & Internet, Matemáticas
- Calificación
- 4,65 de 5
- Descripción
- 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.