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      Science and data science

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          Abstract

          <p class="first" id="d4157778e190">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. </p>

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          Most cited references12

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            MapReduce

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              • Record: found
              • Abstract: not found
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              Monte Carlo Statistical Methods

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                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc Natl Acad Sci USA
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                August 15 2017
                August 15 2017
                : 114
                : 33
                : 8689-8692
                Article
                10.1073/pnas.1702076114
                5565421
                28784795
                cd669cbd-0b20-4ea1-a882-8c0d5e98aa34
                © 2017
                History

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