Data Science technologies

Carlos Carrasco-Farré, Manu Carricano, Didier Grimaldi

Producción científica: Capítulo del libroCapítulorevisión exhaustiva

Resumen

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 originalInglés
Título de la publicación alojadaImplementing Data-Driven Strategies in Smart Cities
Subtítulo de la publicación alojadaA Roadmap for Urban Transformation
EditorialElsevier
Páginas89-110
Número de páginas22
ISBN (versión digital)9780128211229
ISBN (versión impresa)9780128211236
DOI
EstadoPublicada - 1 ene 2021

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