Data Science for Mathematicians

Nathan Carter

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Hardback

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English

Chapman & Hall/CRC
16 September 2020

Data analysis: general; Probability & statistics; Applied mathematics; Mathematical theory of computation

Series: CRC Press/Chapman and Hall Handbooks in Mathematics Series

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.

Edited by: Nathan Carter
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367027056
ISBN 10: 0367027054
Series: CRC Press/Chapman and Hall Handbooks in Mathematics Series
Pages: 544
Publication Date: 16 September 2020
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Hardback
Publisher's Status: Active

Contents Chapter 1 Introduction 1 Chapter 2 Programming with Data Chapter 3 Linear Algebra Chapter 4 Basic Statistics Chapter 5 Clustering Chapter 6 Operations Research Chapter 7 Dimensionality Reduction Chapter 8 Machine Learning Chapter 9 Deep Learning Chapter 10 Topological Data Analysis Bibliography

Nathan Carter is a professor at Bentley University.