- Series: Chapman & Hall/CRC The R Series (Book 28)
- Hardcover: 328 pages
- Publisher: Chapman and Hall/CRC; 1 edition (June 4, 2015)
- Language: English
- ISBN-10: 1466587016
- ISBN-13: 978-1466587014
- Product Dimensions: 6.5 x 1 x 9.5 inches
- Shipping Weight: 1.3 pounds (View shipping rates and policies)
- Average Customer Review: 4 customer reviews
- Amazon Best Sellers Rank: #424,002 in Books (See Top 100 in Books)
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Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series) 1st Edition
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"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, biometricians, etc. This would apply to both established researchers and graduate students. This book provides exactly the sort of information that this audience is looking for, and it is presented in a very accessible and friendly manner."
―Econometrics Beat: Dave Giles’ Blog, July 2015
"The author has correctly recognized that there is a pressing need for a thorough, but readable guide to parallel computing―one that can be used by researchers and students in a wide range of disciplines. In my view, this book will meet that need. … For me and colleagues in my field, I would see this as a ‘must-have’ reference book―one that would be well thumbed!"
―David E. Giles, University of Victoria
"This is a book that I will use, both as a reference and for instruction. The examples are poignant and the presentation moves the reader directly from concept to working code."
―Michael Kane, Yale University
About the Author
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.
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In general, I greatly agree with Venables prior review on editing and typesetting. It appears that the printing was done in the basic font used in LaTeX documents made in RStudio or a basic LaTeX editor. In my mind, Matloff was done a huge disservice by CRC Press by not doing a professional edit and making appropriate typesetting decisions.
Moving to the book's content, I found the information very informative and useful. In particular Chapters 2 - 6 were great.
That said, given how much of this information is freely available online, it's hard to justify a purchase. In addition, this edition has changed very little from the rough draft that is freely available on Dr Matloff's website. Given the poor quality edit and the lack of new / revised material vs the free draft version, I have a hard time recommending this as a purchase, though I do consider it a valuable reference. Yes, I realize that that is seemingly contradictory.