Parallel Computing for Data Science
Download or Read eBook Parallel Computing for Data Science PDF written by Norman Matloff and published by CRC Press. This book was released on 2015-06-04 with total page 340 pages. Available in PDF, EPUB and Kindle.
| Author | : Norman Matloff |
| Publisher | : CRC Press |
| Total Pages | : 340 |
| Release | : 2015-06-04 |
| ISBN-10 | : 9781466587038 |
| ISBN-13 | : 1466587032 |
| Rating | : 4/5 (38 Downloads) |
Book Synopsis Parallel Computing for Data Science by : Norman Matloff
Book excerpt: This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic n observations, p variables matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.
