ISBN-13: 9780323961264 / Angielski / Miękka / 2023
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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