Machine Learning for Wireless Communication: Principles and Applications
Language: English
Published by Notion Press, 2025
- Hardcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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In English.
Seller Inventory # ria9798899061080_new
- Title
- Machine Learning for Wireless Communication: Principles and Applications
- Author
- Dr Sanjay Agal
- Publisher
- Notion Press
- Publication year
- 2025
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 13
- 9798899061080
- Item weight
- 1,407 grams
Machine Learning for Wireless Communication: Principles and Applications
Edited by Dr. Sanjay Agal
Unlock the future of connectivity where algorithms power intelligent communication systems. Machine Learning for Wireless Communication: Principles and Applications is your essential guide to the transformative synergy between machine learning and next-generation wireless technologies.
Whether you're a researcher, student, or industry professional, this comprehensive volume bridges the gap between theory and practical application. Covering foundational concepts-from supervised and unsupervised learning to deep learning and reinforcement learning-it progresses into real-world applications such as 5G/6G optimization, IoT integration, edge computing, and network security.
With clear explanations, illustrative case studies, and insights from seasoned educators and engineers, this book goes beyond technical depth to offer a strategic vision of how data-driven intelligence is reshaping wireless networks.
Step into a world where machines not only learn but anticipate, adapt, and revolutionize how we connect.
"Synopsis" may belong to another edition of this title.
Ria Christie Collections
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