Literature DB >> 28784795

Science and data science.

David M Blei1,2,3, Padhraic Smyth4,5.   

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.

Entities:  

Keywords:  data science; machine learning; statistics

Year:  2017        PMID: 28784795      PMCID: PMC5565421          DOI: 10.1073/pnas.1702076114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  3 in total

Review 1.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

Review 2.  Machine learning: Trends, perspectives, and prospects.

Authors:  M I Jordan; T M Mitchell
Journal:  Science       Date:  2015-07-17       Impact factor: 47.728

3.  Ten simple rules for the care and feeding of scientific data.

Authors:  Alyssa Goodman; Alberto Pepe; Alexander W Blocker; Christine L Borgman; Kyle Cranmer; Merce Crosas; Rosanne Di Stefano; Yolanda Gil; Paul Groth; Margaret Hedstrom; David W Hogg; Vinay Kashyap; Ashish Mahabal; Aneta Siemiginowska; Aleksandra Slavkovic
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

  3 in total
  14 in total

1.  Towards Algorithmic Analytics for Large-scale Datasets.

Authors:  Danilo Bzdok; Thomas E Nichols; Stephen M Smith
Journal:  Nat Mach Intell       Date:  2019-07-09

2.  Promises and Pitfalls of Using Digital Traces for Demographic Research.

Authors:  Nina Cesare; Hedwig Lee; Tyler McCormick; Emma Spiro; Emilio Zagheni
Journal:  Demography       Date:  2018-10

3.  Data Science in Environmental Health Research.

Authors:  Christine Choirat; Danielle Braun; Marianthi-Anna Kioumourtzoglou
Journal:  Curr Epidemiol Rep       Date:  2019-07-15

4.  Using a process-based model to understand dynamics of Chinese agricultural and water technology development from 8000 BC to 1911 AD.

Authors:  Shuanglei Wu; Yongping Wei; Brian Head; Yan Zhao; Scott Hanna
Journal:  Ambio       Date:  2020-12-17       Impact factor: 5.129

5.  Remote optimization of an ultracold atoms experiment by experts and citizen scientists.

Authors:  Robert Heck; Oana Vuculescu; Jens Jakob Sørensen; Jonathan Zoller; Morten G Andreasen; Mark G Bason; Poul Ejlertsen; Ottó Elíasson; Pinja Haikka; Jens S Laustsen; Lærke L Nielsen; Andrew Mao; Romain Müller; Mario Napolitano; Mads K Pedersen; Aske R Thorsen; Carsten Bergenholtz; Tommaso Calarco; Simone Montangero; Jacob F Sherson
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-09       Impact factor: 11.205

6.  Qresp, a tool for curating, discovering and exploring reproducible scientific papers.

Authors:  Marco Govoni; Milson Munakami; Aditya Tanikanti; Jonathan H Skone; Hakizumwami B Runesha; Federico Giberti; Juan de Pablo; Giulia Galli
Journal:  Sci Data       Date:  2019-01-29       Impact factor: 6.444

7.  An image-based data-driven analysis of cellular architecture in a developing tissue.

Authors:  Jonas Hartmann; Mie Wong; Elisa Gallo; Darren Gilmour
Journal:  Elife       Date:  2020-06-05       Impact factor: 8.140

8.  A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.

Authors:  Kevin M Mendez; Stacey N Reinke; David I Broadhurst
Journal:  Metabolomics       Date:  2019-11-15       Impact factor: 4.290

9.  Inference and Prediction Diverge in Biomedicine.

Authors:  Danilo Bzdok; Denis Engemann; Bertrand Thirion
Journal:  Patterns (N Y)       Date:  2020-10-08

Review 10.  Classical Statistics and Statistical Learning in Imaging Neuroscience.

Authors:  Danilo Bzdok
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

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