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Data Science for Transport: A Self-Study Guide with Computer Exercises (Springer Textbooks in Earth Sciences, Geography and Environment) - Tapa blanda
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Dr. Charles Fox is a University Academic Fellow in Vehicle and Road Automation at the Institute for Transport Studies, University of Leeds. He researches autonomous off-road, on-road, and road-side perception, control and data analytics systems, using primarily Bayesian methods. Recent projects include IBEX2 off-road autonomous agricultural vehicles, featured in The Times and on the Discovery Channel; INTERACT pedestrian detection analytics for autonomous vehicles, with BMW; UDRIVE data mining of manual car driving big data to identify causes of dangerous driving, with Volvo; and Automated Number Plate Recognition analytics for Mouchel and the Highways Agency.
Dr. Fox holds a first class MA degree in Computer Science from the University of Cambridge, MSc with Distinction in Informatics from the University of Edinburgh, and a DPhil in Pattern Analysis and Machine Learning from the Robotics Research Group at the University of Oxford. He has workedas a researcher in robotics and data-driven speech recognition at the University of Sheffield for users including the BBC, NHS and GCHQ, and as a high frequency data-driven trader for London hedge fund Algometrics Ltd.
He has published 50 conference and journal papers cited 800 times and has h-index 15. He is a director of Ibex Automation Ltd which advises hedge fund and venture capital clients and is available for consultancy and R&D work in Data Science and Robotics.
De la contraportada
This book offers a unique introduction to the application of data science for transport professionals and students of transport studies. Based on a course taught by the Leeds Institute for Transport Studies, the world’s leading center for training transport professionals, it represents the first textbook in this new area.
As transportation planning has become increasingly data-driven, all graduate students and transport professionals urgently need to update their skills to include databases, machine learning, Bayesian statistics, geographic information system (GIS), and big data tools. Similarly, transport professionals including national and local government planners, transport consultants, and car company engineers are called upon to integrate these disparate areas with a specific focus on transportation issues, such as maps.
The textbook also features a downloadable software package with all of the open source tools and libraries used in code examples throughout the book, including Python, Spyder, PostGIS, PyMC and GPy installations. As such, it offers a unique resource for graduate/advanced undergraduate students and instructors in transportation studies, urban and regional planning, engineering and geography, as well as transportation professionals.
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- EditorialSpringer
- Año de publicación2019
- ISBN 10 3030102912
- ISBN 13 9783030102913
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas204
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Data Science for Transport: A Self-Study Guide with Computer Exercises (Springer Textbooks in Earth Sciences, Geography and Environment)
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Data Science for Transport
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Springer International Publishing, 2019
ISBN 10: 3030102912
ISBN 13: 9783030102913
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces data science for students of transport studies, geography and the geosciences, as well as transport professionals The only book to integrate the whole stack of transport data analysis Addresses a range of aspects, from setting . Nº de ref. del artículo: 448672838
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Data Science for Transport
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Springer International Publishing Jan 2019, 2019
ISBN 10: 3030102912
ISBN 13: 9783030102913
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The quantity, diversity and availability of transport data is increasing rapidly, requiringnew skills in the management and interrogation of data and databases. Recent yearshave seen a new wave of 'big data', 'Data Science', and 'smart cities' changing theworld, with the Harvard Business Review describing Data Science as the 'sexiest job ofthe 21st century'. Transportation professionals and researchers need to be able to usedata and databases in order to establish quantitative, empirical facts, and to validateand challenge their mathematical models, whose axioms have traditionally often beenassumed rather than rigorously tested against data. This book takes a highly practicalapproach to learning about Data Science tools and their application to investigatingtransport issues. The focus is principally on practical, professional work with real dataand tools, including business and ethical issues.'Transport modeling practice was developed in a data poor world, and many of our current techniques and skills are building on that sparsity. In a new data rich world, the required tools are different and the ethical questions around data and privacy are definitely different. I am not sure whether current professionals have these skills; and I am certainly not convinced that our current transport modeling tools will survive in a data rich environment. This is an exciting time to be a data scientist in the transport field. We are trying to get to grips with the opportunities that big data sources offer; but at the same time such data skills need to be fused with an understanding of transport, and of transport modeling. Those with these combined skills can be instrumental at providing better, faster, cheaper data for transport decision- making; and ultimately contribute to innovative, efficient, data driven modeling techniques of the future. It is not surprising that this course, this book, has been authored by the Institute for Transport Studies. To do this well, you need a blend of academic rigor and practical pragmatism. There are few educational or research establishments better equipped to do that than ITS Leeds'.- Tom van Vuren, Divisional Director, Mott MacDonald'WSP is proud to be a thought leader in the world of transport modelling, planning and economics, and has a wide range of opportunities for people with skills in these areas. The evidence base and forecasts we deliver to effectively implement strategies and schemes are ever more data and technology focused a trend we have helped shape since the 1970's, but with particular disruption and opportunity in recent years. As a result of these trends, and to suitably skill the next generation of transport modellers, we asked the world-leading Institute for Transport Studies, to boost skills in these areas, and they have responded with a new MSc programme which you too can now study via this book.'- Leighton Cardwell, Technical Director, WSP.'From processing and analysing large datasets, to automation of modellingtasks sometimes requiring different software packages to 'talk' to each other,to data visualization, SYSTRA employs a range of techniques and tools toprovide our clients with deeper insights and effective solutions. This bookdoes an excellent job in giving you the skills to manage, interrogate andanalyse databases, and develop powerful presentations. Another importantpublication from ITS Leeds.' -Fitsum Teklu, Associate Director (Modelling & Appraisal) SYSTRA Ltd'Urban planning has relied for decades on statistical and computational practices that have little to do with mainstream data science. Information is still often used as evidence on the impact of new infrastructure even 204 pp. Englisch. Nº de ref. del artículo: 9783030102913
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Data Science for Transport : A Self-Study Guide with Computer Exercises
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Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030102912
ISBN 13: 9783030102913
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The quantity, diversity and availability of transport data is increasing rapidly, requiringnew skills in the management and interrogation of data and databases. Recent yearshave seen a new wave of 'big data', 'Data Science', and 'smart cities' changing theworld, with the Harvard Business Review describing Data Science as the 'sexiest job ofthe 21st century'. Transportation professionals and researchers need to be able to usedata and databases in order to establish quantitative, empirical facts, and to validateand challenge their mathematical models, whose axioms have traditionally often beenassumed rather than rigorously tested against data. This book takes a highly practicalapproach to learning about Data Science tools and their application to investigatingtransport issues. The focus is principally on practical, professional work with real dataand tools, including business and ethical issues.'Transport modeling practice was developed in a data poor world, and many of our current techniques and skills are building on that sparsity. In a new data rich world, the required tools are different and the ethical questions around data and privacy are definitely different. I am not sure whether current professionals have these skills; and I am certainly not convinced that our current transport modeling tools will survive in a data rich environment. This is an exciting time to be a data scientist in the transport field. We are trying to get to grips with the opportunities that big data sources offer; but at the same time such data skills need to be fused with an understanding of transport, and of transport modeling. Those with these combined skills can be instrumental at providing better, faster, cheaper data for transport decision- making; and ultimately contribute to innovative, efficient, data driven modeling techniques of the future. It is not surprising that this course, this book, has been authored by the Institute for Transport Studies. To do this well, you need a blend of academic rigor and practical pragmatism. There are few educational or research establishments better equipped to do that than ITS Leeds'.- Tom van Vuren, Divisional Director, Mott MacDonald'WSP is proud to be a thought leader in the world of transport modelling, planning and economics, and has a wide range of opportunities for people with skills in these areas. The evidence base and forecasts we deliver to effectively implement strategies and schemes are ever more data and technology focused a trend we have helped shape since the 1970's, but with particular disruption and opportunity in recent years. As a result of these trends, and to suitably skill the next generation of transport modellers, we asked the world-leading Institute for Transport Studies, to boost skills in these areas, and they have responded with a new MSc programme which you toocan now study via this book.'- Leighton Cardwell, Technical Director, WSP.'From processing and analysing large datasets, to automation of modellingtasks sometimes requiring different software packages to 'talk' to each other,to data visualization, SYSTRA employs a range of techniques and tools toprovide our clients with deeper insights and effective solutions. This bookdoes an excellent job in giving you the skills to manage, interrogate andanalyse databases, and develop powerful presentations. Another importantpublication from ITS Leeds.' -Fitsum Teklu, Associate Director (Modelling & Appraisal) SYSTRA Ltd'Urban planning has relied for decades on statistical and computational practices that have little to do with mainstream data science. Information is still often used as evidence on the impact of new infrastructure even w. Nº de ref. del artículo: 9783030102913
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