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Data Science for Transport

A Self-Study Guide with Computer Exercises

Produktform: Buch / Einband - fest (Hardcover)

The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of 'big data', 'Data Science', and 'smart cities' changing the world, with the Harvard Business Review describing Data Science as the "sexiest job of the 21st century". Transportation professionals and researchers need to be able to use data and databases in order to establish quantitative, empirical facts, and to validate and challenge their mathematical models, whose axioms have traditionally often been assumed rather than rigorously tested against data. This book takes a highly practical approach to learning about Data Science tools and their application to investigating transport issues. The focus is principally on practical, professional work with real data and tools, including business and ethical issues. "". - Tom van Vuren, Divisional Director, Mott MacDonald "." - Leighton Cardwell, Technical Director, WSP. "."  - Fitsum Teklu, Associate Director (Modelling & Appraisal) SYSTRA Ltd "".  - Yaron Hollander, author of "Transport Modelling for a Complete Beginner" weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-319-72952-7 / 978-3319729527 / 9783319729527

Verlag: Springer International Publishing

Erscheinungsdatum: 13.03.2018

Seiten: 185

Auflage: 1

Autor(en): Charles Fox

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