Le livre est actuellement en rupture de stock
Paramètres
- 328pages
- 12 heures de lecture
En savoir plus sur le livre
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.
Achat du livre
Parallel Computing for Data Science, Norman Matloff
- Langue
- Année de publication
- 2015
- product-detail.submit-box.info.binding
- (rigide)
Nous vous informerons par e-mail dès que nous l’aurons retrouvé.
Modes de paiement
Il manque plus que ton avis ici.
- Titre
- Parallel Computing for Data Science
- Sous-titre
- With Examples in R, C++ and Cuda
- Langue
- Anglais
- Auteurs
- Norman Matloff
- Éditeur
- CRC Press
- Publié
- 2015
- Format
- rigide
- Pages
- 328
- ISBN13
- 9781466587014
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Science et Mathématiques, Informatique & Internet, Mathématiques
- Évaluation
- 4,65 sur 5
- Description
- 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.