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. 2017 Aug 15;114(33):8689-8692.
doi: 10.1073/pnas.1702076114. Epub 2017 Aug 7.

Science and data science

David M Blei  1   2   3 , Padhraic Smyth  4   5
Affiliations

Science and data science

David M Blei et al. Proc Natl Acad Sci U S A. .

Abstract

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; machine learning; statistics.

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Conflict of interest statement

The authors declare no conflict of interest.

References

    1. Press G. May 28, 2013 A very short history of data science. Forbes. Available at https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of.... Accessed June 1, 2017.
    1. Persons T, et al. Data and Analytics Innovation: Emerging Opportunities and Challenges. US Government Accountability Office; Washington, DC: 2016.
    1. Donoho D. 2015 50 Years of Data Science, Proceedings of the Tukey Centennial Workshop (Princeton). Available at https://pdfs.semanticscholar.org/f564/25ec56586dcfd2694ab83643e9e76f314e.... Accessed June 30, 2017.
    1. Ridgway J. Implications of the data revolution for statistics education. Int Stat Rev. 2015;84:528–549.
    1. Dhar V. Data science and prediction. Commun ACM. 2013;56:64–73.

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