| Edition |
First edition. |
| Descript. |
1 online resource : illustrations (black and white) |
| Series |
CRC Press/Chapman and Hall Handbooks in Mathematics
|
| Bibliog. |
Includes bibliographical references. |
| Contents |
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. |
| Summary |
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. As it applies to the curriculum, research, and career opportunities, data science is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them. |
| Sys Details |
eBook access requires you to log in as a Federation University Australia library user |
| Notes |
Nathan Carter is a professor at Bentley University. |
| Subject |
Mathematical analysis.
|
|
Mathematical statistics.
|
|
Data mining.
|
|
Big data -- Mathematics.
|
|
Data Mining
|
| Other Author |
Carter, Nathan C., editor.
|
| ISBN |
9780429675683 (electronic book) |
|
0429675682 (electronic book) |
|
9780429398292 (electronic book) |
|
0429398298 (electronic book) |
|
9780429675669 (electronic book Mobipocket) |
|
0429675666 (electronic book Mobipocket) |
|
9780429675676 (electronic book EPUB) |
|
0429675674 (electronic book EPUB) |
|
9780367027056 |
|
0367027054 |
|
9780367528492 |
|
0367528495 |
| ISBN/ISSN |
10.1201/9780429398292 doi |
|
