Date science thinking : the next scientific, technological and economic revolution

書誌事項

Date science thinking : the next scientific, technological and economic revolution

Longbing Cao

(Date analytics / Longbing Cao, Philip S. Yu, series editores)

Springer, c2018

この図書・雑誌をさがす
注記

Includes bibliographical references and index

内容説明・目次

内容説明

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

目次

1 The Data Science Era.- 2 What is Data Science.- 3 Data Science Thinking.- 4 Data Science Challenges.- 5 Data Science Discipline.- 6 Data Science Foundations.- 7 Data Science Techniques.- 8 Data Economy and Industrialization.- 9 Data Science Applications.- 10 Data Profession.- 11 Data Science Education.- 12 Prospects and Opportunities in Data Science.

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関連文献: 1件中  1-1を表示
  • Date analytics

    Longbing Cao, Philip S. Yu, series editores

    Springer

詳細情報
  • NII書誌ID(NCID)
    BB27135544
  • ISBN
    • 9783319950914
  • 出版国コード
    sz
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Cham
  • ページ数/冊数
    xx, 390p.
  • 大きさ
    25 cm
  • 親書誌ID
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