Articles liés à Parallel Computing for Data Science
Synopsis
Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.
With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He has published numerous articles in prestigious journals, such as the ACM Transactions on Database Systems, ACM Transactions on Modeling and Computer Simulation, Annals of Probability, Biometrika, Communications of the ACM, and IEEE Transactions on Data Engineering. He earned a PhD in pure mathematics from UCLA, specializing in probability/functional analysis and statistics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 59,60
EUR 11 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour Parallel Computing for Data Science
Image fournie par le vendeur
Parallel Computing for Data Science
impression à la demandeVendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic 'n observations, p variables' matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia. 328 pp. Englisch. N° de réf. du vendeur 9780367738198
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Parallel Computing for Data Science
impression à la demandeVendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He has. N° de réf. du vendeur 594600591
Quantité disponible : Plus de 20 disponibles
Image d'archives
Parallel Computing for Data Science (Chapman & Hall/CRC The R Series)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 390160045
Quantité disponible : 3 disponible(s)
Image d'archives
Parallel Computing for Data Science (Chapman & Hall/CRC The R Series)
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9780367738198
Quantité disponible : Plus de 20 disponibles
Image d'archives
Parallel Computing for Data Science: With Examples in R, C++ and CUDA
Edité par
Taylor & Francis Ltd, 2020
ISBN 10 : 0367738198
ISBN 13 : 9780367738198
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 185. N° de réf. du vendeur B9780367738198
Quantité disponible : 1 disponible(s)
Image d'archives
Parallel Computing for Data Science (Chapman & Hall/CRC The R Series)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9780367738198_new
Quantité disponible : Plus de 20 disponibles
Image d'archives
Parallel Computing for Data Science : With Examples in R, C++ and Cuda
Edité par
Routledge, 2020
ISBN 10 : 0367738198
ISBN 13 : 9780367738198
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 42403409
Quantité disponible : 10 disponible(s)
Image fournie par le vendeur
Parallel Computing for Data Science : With Examples in R, C++ and Cuda
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic 'n observations, p variables' matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia. N° de réf. du vendeur 9780367738198
Quantité disponible : 2 disponible(s)
Image d'archives
Parallel Computing for Data Science: With Examples in R, C++ and Cuda
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 328 pages. 9.21x6.14x0.91 inches. In Stock. N° de réf. du vendeur __0367738198
Quantité disponible : 1 disponible(s)
Image d'archives
Parallel Computing for Data Science : With Examples in R, C++ and Cuda
Edité par
Routledge, 2020
ISBN 10 : 0367738198
ISBN 13 : 9780367738198
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 42403409
Quantité disponible : 10 disponible(s)