Description
This comprehensive textbook provides a thorough introduction to machine learning techniques and their applications in smart city environments. Written for graduate students and practitioners, the book covers both theoretical foundations and practical implementations.
Table of Contents
- Introduction to Smart Cities
- Data Collection and Sensor Networks
- Machine Learning Fundamentals
- Deep Learning for Urban Data
- Reinforcement Learning for Control Systems
- Privacy and Security Considerations
- Case Studies and Applications
- Future Directions
Reviews
“An essential resource for anyone working at the intersection of AI and urban computing.” — Prof. John Doe, MIT
“Comprehensive coverage with excellent real-world examples.” — IEEE Computing Reviews