[PDF.62kk] Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)

Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)

[PDF.ad82] Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)

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 | #1380233 in Books |  CRC Press |  2015-06-04 | Original language:English | PDF # 1 |  .90 x6.00 x9.30l,1.62 | File type: PDF | 328 pages

 | CRC Press

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||12 of 12 people found the following review helpful.| The basic idea of the book is good and such a book is very timely|By William Venables|The basic idea of the book is good and such a book is very timely. Matloff delivers with clarity and authority, which is good. The book suffers a lot, however, by the lack of a good professional edit. The leading example, though useful in containing many the features you would need as an| ||"From my reading of the book, Matloff achieves his goals, and in doing so he has provided a volume that will be immensely useful to a very wide audience. I can see it being used as a reference by data analysts, statisticians, engineers, econometricians, biome

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 ...

You easily download any file type for your gadget.Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)   |  Norman Matloff.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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