Data science for mathematicians

Contributor(s): Carter, Nathan [Editor]
Material type: TextTextSeries: CRC Press/Chapman and Hall handbook in mathematics 3Publisher: Boca Raton CRC Press 2021Description: xv, 528 p.: ill. Include bibliography and indexISBN: 9780367027056Subject(s): Data mining | Mathematical statistics | Mathematical analysis | Big data - MathematicsDDC classification: 515 Summary: 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. https://www.routledge.com/Data-Science-for-Mathematicians/Carter/p/book/9780367027056
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Item type Current location Item location Collection Call number Status Date due Barcode
Books Vikram Sarabhai Library
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Slot 1371 (0 Floor, East Wing) Non-fiction 515 D2 (Browse shelf) Checked out 16/03/2022 204167

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
Bibliography

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.

https://www.routledge.com/Data-Science-for-Mathematicians/Carter/p/book/9780367027056

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