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Data science for mathematicians

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data science for mathematicians/ edited by Nathan Carter.
其他作者:	Carter, Nathan C.
出版者:	Boca Raton, FL :CRC Press, : 2020.,
面頁冊數:	1 online resource :ill. :
附註:	"A Chapman & Hall book."
標題:	Mathematical analysis. -
電子資源:	https://www.taylorfrancis.com/books/9780429398292
ISBN:	9780429398292

Data science for mathematicians
Data science for mathematicians[electronic resource] /edited by Nathan Carter. - Boca Raton, FL :CRC Press,2020. - 1 online resource :ill. - CRC Press/Chapman and Hall handbooks in mathematics series. - Chapman and Hall/CRC handbooks in mathematics series..

"A Chapman & Hall book."

Includes bibliographical references and index.

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.

ISBN: 9780429398292Subjects--Topical Terms:

527926
Mathematical analysis.

LC Class. No.: QA300

Dewey Class. No.: 515

Data science for mathematicians
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500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 $a 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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650 0 $a Mathematical statistics. $3 527941
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700 1 $a Carter, Nathan C. $3 1421126
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