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  • 标题:Science and data science
  • 本地全文:下载
  • 作者:David M. Blei ; Padhraic Smyth
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2017
  • 卷号:114
  • 期号:33
  • 页码:8689-8692
  • DOI:10.1073/pnas.1702076114
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Data science has attracted a lot of attention, promising to turn vast amounts of data into useful predictions and insights. In this article, we ask why scientists should care about data science. To answer, we discuss data science from three perspectives: statistical, computational, and human. Although each of the three is a critical component of data science, we argue that the effective combination of all three components is the essence of what data science is about.
  • 关键词:data science ; statistics ; machine learning
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