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The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development

In Data Science, we are concerned with the integration of relevant sciences in observed and empirical contexts. This results in the unification of analytical methodologies, and of observed and empirical data contexts. Given the dynamic nature of convergence, the origins and many evolutions of the Da...

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Principais autores: Fionn Murtagh, Keith Devlin
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2018-06-01
coleção:Big Data and Cognitive Computing
Assuntos:
big data training and learning
company and business requirements
ethics
impact
decision support
data engineering
open data
smart homes
smart cities
IoT
Acesso em linha:http://www.mdpi.com/2504-2289/2/2/14
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