Quantum Machine Learning by R. Bala Krishnan (.PDF)
File Size: 47.8 MB
Quantum Machine Learning: Artificial Intelligence for Smart Internet of Things Applications by R. Bala Krishnan, N. Rajesh Kumar, Subramaniyaswamy V.
Requirements: .PDF reader, 47.8 MB | True PDF
Overview: Revolutionize your IoT infrastructure with this guide to mastering quantum-enhanced Machine Learning algorithms and theoretical frameworks that are shattering the boundaries of classical computing to deliver unprecedented network performance and security. In a world increasingly reliant on interconnected devices and data-driven insights, the limitations of classical computing become ever more apparent. The convergence of Quantum Computing, Machine Learning, and the Internet of Things (IoT) heralds a new era of technological advancement, one where the boundaries of computational possibility are continually redefined. This book offers an in-depth examination of how quantum algorithms are utilized to improve the performance, security, and efficiency of IoT devices and networks. It connects theoretical concepts with practical applications, providing a comprehensive look at fundamental principles and advanced techniques in this rapidly growing field. Using case studies and real-world insights, this book gives readers the latest developments in Quantum Machine Learning, Artificial Intelligence, and the smart Internet of Things, and their potential to create an accessible pathway to the future. For researchers and engineers in Machine Learning, Quantum Computing, Data Science, the Internet of Things.
Genre: Non-Fiction > Tech & Devices
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