Data science for mathematicians /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Carter, Nathan C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : Chapman & Hall/CRC, [2021]
Edición:First edition.
Colección:CRC Press/Chapman and Hall Handbooks in Mathematics
Temas:
Mathematical analysis.
Mathematical statistics.
Data mining.
Big data > Mathematics.
Data Mining
Analyse mathématique.
Exploration de données (Informatique)
Données volumineuses > Mathématiques.
MATHEMATICS > General.
MATHEMATICS > Applied.
Mathematical statistics
Mathematical analysis
Data mining
handbooks.
Handbooks and manuals.
Guides et manuels.
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource : illustrations (black and white)
Bibliografía:Includes bibliographical references.
ISBN:9780429675683
0429675682
9780429398292
0429398298
9780429675669
0429675666
9780429675676
0429675674

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