Machine Learning for Transportation Research and Applications

Part One: Overview
1. General Introduction and Overview
2. Fundamental Mathematics
3. Machine Learning Basics

Part Two: Methodologies and Applications
4. Classical ML Methods
5. Convolutional Neural Network
6. Graph Neural Network
7. Sequence Modeling
8. Probabilistic Models
9. Reinforcement Learning
10. Generative Models
11. Meta/Transfer Learning

Part Three: Future Research and Applications
The Future of Transportation and AI

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• Aprendizagem mecânica
• Planeamento e política de transportes

Machine Learning; Deep Learning; Artificial Intelligence; Intelligent Transportation Systems; Data Analytics