Mathematics of Big Data
spreadsheets, databases, matrices, and graphs
$232.11
- Hardcover
448 pages
- Release Date
16 July 2018
Summary
The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools-including spreadsheets, databases, matrices, and graphs-developed to address this…
Book Details
| ISBN-13: | 9780262038393 |
|---|---|
| ISBN-10: | 0262038390 |
| Series: | MIT Lincoln Laboratory Series |
| Author: | Jeremy Kepner, Hayden Jananthan, Charles E. Leiserson |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 448 |
| Release Date: | 16 July 2018 |
| Weight: | 1.00kg |
| Dimensions: | 229mm x 178mm x 25mm |
About The Author
Jeremy Kepner
Jeremy Kepner is an MIT Lincoln Laboratory Fellow, Founder and Head of the MIT Lincoln Laboratory Supercomputing Center, and Research Affiliate in MIT’s Mathematics Department.Hayden Jananthan is a PhD candidate in the Department of Mathematics at Vanderbilt University.Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology.
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