Format:
xv, 528 Seiten
,
Illustrationen, Diagramme
ISBN:
9780367027056
,
9780367528492
Series Statement:
CRC Press/Chapman and Hall handbooks in mathematics series
Content:
"Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians. This handbook will assist mathematicians to better understand the opportunities presented by data science"--
Note:
Literaturverzeichnis: Seite 475-514
,
Programming with data / Sean Raleigh -- Linear algebra / Jeffery Leader -- Basic statistics / David White -- Clustering / Amy S. Wagaman -- Operations research / Alice Paul and Susan Martonosi -- Dimensionality reduction / Sofya Chepushtanova, Elin Farnell, Eric Kehoe, Michael Kirby, and Henry Kvinge -- Machine learning / Mahesh Agarwal, Nathan Carter, and David Oury -- Deep learning / Samuel S. Watson -- Topological data analysis / Henry Adams, Johnathan Bush, Joshua Mirth.
Additional Edition:
ISBN 9780429398292
Additional Edition:
Erscheint auch als Online-Ausgabe Carter, Nathan Data Science for Mathematicians Milton : CRC Press LLC, 2020 ISBN 9780429675683
Additional Edition:
Erscheint auch als Online-Ausgabe Data science for mathematicians Boca Raton : CRC Press, Taylor & Francis Group, 2021 ISBN 9780429398292
Additional Edition:
ISBN 0429398298
Additional Edition:
ISBN 9780429675683
Additional Edition:
ISBN 0429675682
Additional Edition:
ISBN 9780429675669
Additional Edition:
ISBN 0429675666
Additional Edition:
ISBN 9780429675676
Additional Edition:
ISBN 0429675674
Additional Edition:
Erscheint auch als Online-Ausgabe Data science for mathematicians Boca Raton : Chapman & Hall/CRC, 2020 ISBN 9780429398292
Additional Edition:
ISBN 9780429675669
Additional Edition:
ISBN 9780429675676
Additional Edition:
ISBN 9780429675683
Language:
English
Subjects:
Mathematics
Keywords:
Big Data
;
Datenanalyse
;
Datenanalyse
;
Mathematik
URL:
https://www.routledge.com/Data-Science-for-Mathematicians/Carter/p/book/9780367027056
Bookmarklink
