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 original | Inglés |
---|---|
Título de la publicación alojada | Implementing Data-Driven Strategies in Smart Cities |
Subtítulo de la publicación alojada | A Roadmap for Urban Transformation |
Editorial | Elsevier |
Páginas | 89-110 |
Número de páginas | 22 |
ISBN (versión digital) | 9780128211229 |
ISBN (versión impresa) | 9780128211236 |
DOI | |
Estado | Publicada - 1 ene 2021 |