Data Science for Mathematicians: 1st Edition (Hardback) book cover

Data Science for Mathematicians

1st Edition

Edited by Nathan Carter

Chapman and Hall/CRC

499 pages | 151 B/W Illus.

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Hardback: 9780367027056
pub: 2020-08-15
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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 scienc is a fast-growing field. Contributors from both academics and industry present their views on these opportunities and how to advantage them.

Table of 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


About the Editor

Nathan Carter is a professor at Bentley University.

About the Series

Chapman & Hall/CRC Cryptography and Network Security Series

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Subject Categories

BISAC Subject Codes/Headings: