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Data Science for Transport

A Self-Study Guide with Computer Exercises

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Pages
204 pages
Reading time
8 hours

More about the book

The book emphasizes the growing importance of data management and analysis skills in the transportation sector amidst the rise of big data and smart cities. It highlights the need for transportation professionals to rigorously test their mathematical models against empirical data rather than relying on assumptions. With a practical approach, it guides readers through the use of Data Science tools to address transport challenges, while also addressing relevant business and ethical considerations in the field.

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Data Science for Transport, Charles Fox

Language
Released
2018
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(Hardcover)
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