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Science and data science

delete2017-08-07
delete94
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OA
AI
D
David M. Blei *
P
Padhraic Smyth
DOI:10.1073/pnas.1702076114delete
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Abstract

Abstract

En 中文
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.
Keywords:
data science
statistics
machine learning
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

P
Proceedings of the National Academy of Sciences of the United States of America
IF:
9.1
Papers:
10.8W
Citations:
73.5W

Organization

C
Columbia University
Scholars:
7.1W
Papers: 6.4W
Citations: 263
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K