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Inhaltsangabe
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.
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Paperback. Zustand: new. Paperback. Machine Learning for Wireless Communication: Principles and ApplicationsEdited by Dr. Sanjay AgalUnlock 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798899061073
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Machine Learning for Wireless Communication (Paperback)
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Paperback. Zustand: new. Paperback. Machine Learning for Wireless Communication: Principles and ApplicationsEdited by Dr. Sanjay AgalUnlock 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798899061073
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