Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.