Mathematics of big data: spreadsheets, databases, matrices, and graphs
Kepner, Jeremy
creator
Hayden, Jananthan
Co author
text
London
MIT Press
2018
monographic
| 0
xxi, 418p.
Mathematics of Big Data presents a sophisticated view of matrices, graphs, databases, and spreadsheets, with many examples to help the discussion. The authors present the topic in three parts-applications and practice, mathematical foundations, and linear systemsâ€”with self-contained chapters to allow for easy reference and browsing. The algorithms are expressed in D4M, with execution possible in Matlab, Octave, and Julia. With exercises at the end of each section, the book can be used as a supplemental or primary text for a class on big data, algorithms, data structures, data analytics, linear algebra, or abstract algebra.
https://mitpress.mit.edu/books/mathematics-big-data
Computer Science
Big data - Graphic methods
Graph Analysis and Machine Learning
Visualizing Algebra
005.7 K3M2
9780262038393
190312