Data Science for Mathematicians

Author:   Nathan Carter
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367528492


Pages:   528
Publication Date:   26 August 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Data Science for Mathematicians


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Overview

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.

Full Product Details

Author:   Nathan Carter
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   1.010kg
ISBN:  

9780367528492


ISBN 10:   0367528495
Pages:   528
Publication Date:   26 August 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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Nathan Carter is a professor at Bentley University.

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