Data Science technologies

Carlos Carrasco-Farré; Manu Carricano; Didier Grimaldi

doi:10.1016/B978-0-12-821122-9.00009-9

Data Science technologies

Carlos Carrasco-Farré, Manu Carricano, Didier Grimaldi

Escola Tècnica Superior d'Enginyeria La Salle

Producció científica: Capítol de llibre › Capítol › Avaluat per experts

Resum

Data is everywhere. Even when we do not know or think about it, data is being generated because we are surrounded by technology. Therefore, we have the opportunity to leverage on data science to make better and more informed decisions in cities. However, in this chapter, we have not provided an exact definition for data science. In contrast, we do believe that since data science is a relatively new field, it is easier to understand by defining the type of problems that data science deals with; from classification problems to clustering, similarity or causality. In addition, the chapter covers how to organize and manage data science teams and data-intensive projects.

Idioma original	Anglès
Títol de la publicació	Implementing Data-Driven Strategies in Smart Cities
Subtítol de la publicació	A Roadmap for Urban Transformation
Editor	Elsevier
Pàgines	89-110
Nombre de pàgines	22
ISBN (electrònic)	9780128211229
ISBN (imprès)	9780128211236
DOIs	https://doi.org/10.1016/B978-0-12-821122-9.00009-9
Estat de la publicació	Publicada - 1 de gen. 2021

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10.1016/B978-0-12-821122-9.00009-9

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AU - Grimaldi, Didier

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KW - Data-driven project

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KW - Predictive

KW - Prescriptive

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Data Science technologies

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