| Mastering Parallel Programming with R.pdf | 4.15 MB |
Mastering Parallel Programming with R by Simon R. Chapple and Eilidh Troup - True PDF - zeke23
English | 2016 | ISBN: 1784394009 | 244 Pages | True PDF | 3.7 MB
Master the robust features of R parallel programming to accelerate your data science computations.
This book is for R programmers who want to step beyond its inherent single-threaded and restricted memory limitations and learn how to implement highly accelerated and scalable algorithms that are a necessity for the performant processing of Big Data. No previous knowledge of parallelism is required. This book also provides for the more advanced technical programmer seeking to go beyond high level parallel frameworks
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