• Data science for mathematicians[electronic resource] /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 515
    書名/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.
    標題: Mathematical statistics.
    標題: Data mining.
    標題: Big data - Mathematics.
    ISBN: 9780429398292
    ISBN: 0429398298
    ISBN: 9780429675683
    ISBN: 0429675682
    ISBN: 9780429675669
    ISBN: 0429675666
    ISBN: 9780429675676
    ISBN: 0429675674
    書目註: Includes bibliographical references and index.
    摘要、提要註: 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.
    電子資源: https://www.taylorfrancis.com/books/9780429398292
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