aam a22 4500
210786
210786
190312b 2018 ||||| |||| 00| 0 eng d
9780262038393
005.7
K3M2
Kepner, Jeremy
376447
Mathematics of big data: spreadsheets, databases, matrices, and graphs
MIT Press
2018
London
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 systems—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
376448
Big data - Graphic methods
376449
Graph Analysis and Machine Learning
376450
Visualizing Algebra
376451
Hayden, Jananthan
Co author
376452
ddc
BK
0
0
ddc
0
005_700000000000000_K3M2
0
NFIC
357510
VSL
VSL
GEN
2019-03-13
8
3.00
Slot 83 (0 Floor, West Wing)
1
1
005.7 K3M2
198729
2019-11-08
2019-03-14
2019-03-14
4799.00
BK