Data Science for Transport by Charles Fox
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases.-
Data Assimilation Fundamentals
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Collecting, Processing and Presenting Geoscientific Information
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Isotopes and the Natural Environment
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Principles of Karst Hydrogeology
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Hydrothermal Ore Deposits: Geochemical Attributes
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Geoarchaeology
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Physical Geodesy
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Micrometeorological Measurements
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Mineral Resources
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Elements and Mineral Resources
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Python Recipes for Earth Sciences
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Atmospheres and Oceans on Computers
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An Introduction to Fluid Mechanics
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Introduction to Python in Earth Science Data Analysis
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Fission-Track Thermochronology and its Application to Geology
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Geophysical Fluid Dynamics I
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Geophysics of the Cryosphere
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Thermodynamics in Earth and Planetary Sciences
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Geophysical Fluid Dynamics II
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Ocean Acoustics
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Machine Learning for Earth Sciences
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Glaciers and Ice Sheets in the Climate System
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A Geographer's Guide to Computing Fundamentals
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Crystallography
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Governance of Radioactive Waste, Special Waste and Carbon Storage
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Handling of Geospatial Data with QGIS
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Cartography
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R Applications in Earth Sciences
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Transmitted Light Microscopy of Rock-Forming Minerals
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Introduction to Geophysics
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.
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.
| SKU | Unavailable |
| ISBN 13 | 9783319729527 |
| ISBN 10 | 3319729527 |
| Title | Data Science for Transport |
| Author | Charles Fox |
| Series | Springer Textbooks In Earth Sciences Geography And Environment |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2018-03-13 |
| Number of pages | 185 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |