Mathematics of Big Data - Jeremy Kepner (Hardcover)
Spreadsheets, Databases, Matrices, and Graphs
Dispatched in 20 to 30 working days
- Price
- R 1,786
- RRP
R 2,445- (-27%)
Product Details
- Barcode
- 9780262038393
- Department
- Books
- Released
- 17 Jul 2018
- Supply Source
- UK
Book
- Subtitle
- Spreadsheets, Databases, Matrices, and Graphs
- Binding
- Hardcover
- Publisher
- Mit Pr
- Series
- Mit Lincoln Laboratory
- Language
- English
- Number of Pages
- 448
- Dimensions
- 229 x 178 x 25mm (229g)
Summary
- The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.
Non-Fiction
- General Subject
- Computer/General
- BISAC Subject 1
- Computers / Computer Science
- BISAC Subject 2
- Computers / Computer Science
- BIC Classification 1
- Mathematical theory of computation
- BIC Classification 2
- Databases
- Library Subject 1
- Big data - Graphic methods
- Library Subject 2
- Big data - Graphic methods
- Dewey Classification
- 004
Author Bio
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.