Isbn: 9783319729527 - data science for transport: a self-study guide with computer exercises (15 risultati)

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

xvii, 185 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condizione: New. In English.

Hardback. Condizione: New. 2018 ed.

Hardback. Condizione: New. 2018 ed. 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."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 au.…

Condizione: New.

Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: Brand New. study guide edition. 204 pages. 10.98x8.27x0.39 inches. In Stock.

Buch. Condizione: 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. …

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: 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 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 204 pp. Englisch. …

Condizione: 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 .…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 204 pp. Englisch. …