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Machine Learning for Transportation Research and Applications
Ruimin Ke , Yinhai Wang , Zhiyong Cui
- 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
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