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Data Science for Mathematicians: CRC Press/Chapman and Hall Handbooks in Mathematics Series

Editat de Nathan Carter
en Limba Engleză Hardback – 16 sep 2020
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.
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Specificații

ISBN-13: 9780367027056
ISBN-10: 0367027054
Pagini: 544
Ilustrații: 39 Tables, black and white; 151 Illustrations, black and white
Dimensiuni: 156 x 234 x 33 mm
Greutate: 0.94 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria CRC Press/Chapman and Hall Handbooks in Mathematics Series


Public țintă

Academic

Cuprins

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

Notă biografică

Nathan Carter is a professor at Bentley University.

Descriere

Mathematicians have skills that 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. This handbook will assist mathematicians to better understand the opportunities presented by data science.