Data Science for Mathematicians  book cover
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1st Edition

Data Science for Mathematicians

Edited By

Nathan Carter




ISBN 9780367027056
Published September 16, 2020 by Chapman and Hall/CRC
544 Pages 151 B/W Illustrations

 
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Book Description

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.

Table of Contents

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

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Editor(s)

Biography

Nathan Carter is a professor at Bentley University.