It takes the average reader 4 hours and 18 minutes to read Machine Learning for Transportation Research and Applications by Yinhai Wang
Assuming a reading speed of 250 words per minute. Learn more
Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop and apply various types of machine learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis. Introduces fundamental machine learning theories and methodologies Presents state-of-the-art machine learning methodologies and their incorporation into transportationdomain knowledge Includes case studies or examples in each chapter that illustrate the application of methodologies andtechniques for solving transportation problems Provides practice questions following each chapter to enhance understanding and learning Includes class projects to practice coding and the use of the methods
Machine Learning for Transportation Research and Applications by Yinhai Wang is 254 pages long, and a total of 64,516 words.
This makes it 86% the length of the average book. It also has 79% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 52 minutes to read Machine Learning for Transportation Research and Applications aloud.
Machine Learning for Transportation Research and Applications is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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