Transportation Big Data

Name: Transportation Big Data
Brand: Elsevier Health Sciences
SKU: 9780443338915
Price: 3030 CZK
Availability: InStock

Autor: Ziyuan Gu

Jazyk:

Vazba: Brožovaná

Vydavatel: Elsevier Health Sciences

Dostupnost: Skladem u dodavatele

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Transportation Big Data: Theory and Methods is centered on the big data theory and methods. Big data...

Informace o knize

Autor

Ziyuan Gu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2025

Stránek

275

EAN

9780443338915

ISBN

0443338914

Enbook ID

46053594

Vydavatel

Elsevier Health Sciences

Hmotnost

716

Kompletní popis

Transportation Big Data: Theory and Methods is centered on the big data theory and methods. Big data is now a key topic in transportation, simply because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors. This book provides a structured analysis of the commonly used methods for handling transportation big data; it is supported by a wealth of transportation engineering examples, together with codes. It offers a concise, yet comprehensive, description of the key techniques and important tools in transportation big data analysis.

Covers big data applications in transportation engineering in real-world scenarios
Shows how to select different machine learning algorithms for processing, analyzing, and modeling transportation data
Provides an overview of the fundamental concepts of machine learning and how classical algorithms can be applied to transportation-related problems
Provides an overview of Python’s basic syntax and commonly used modules, enabling practical data analysis and modeling tasks using Python

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