Isbn: 9781041083757 - quantum machine learning: revolutionizing data analysis and optimization (10 resultados)

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Condición: New.

Condición: New.

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Buch. Condición: Neu. Neuware - This work offers a structured and in-depth exploration of Quantum Machine Learning (QML), beginning with foundational quantum principles and progressing to advanced QML algorithms such as Quantum SVMs, quantum kernels, and quantum neural networks. It bridges theory with real-world implementation through domain-focused chapters covering finance, healthcare, taxation systems, mobile networks, supply chains, cybersecurity, augmented reality dashboards, and e-commerce. By integrating conceptual clarity with applied frameworks, the book presents practical pathways for leveraging quantum-enhanced intelligence across industries.The book is intended for researchers, academicians, postgraduate students, industry professionals, data scientists, technology strategists, and policymakers seeking to understand and apply Quantum Machine Learning in advanced research, enterprise systems, and next-generation digital infrastructures.Key Features: - Comprises Comprehensive Coverage: Balances foundational theory with practical applications. - Comprises Cutting-Edge Content: Features the latest research and emerging trends in QML. - Provides Practical Insights: Includes real-world case studies and examples for applying QML techniques. - Comprises Expert Authorship: Written by a leading expert with strong academic and industry experience.…

Hardcover. Condición: new. Hardcover. This work offers a structured and in-depth exploration of Quantum Machine Learning (QML), beginning with foundational quantum principles and progressing to advanced QML algorithms such as Quantum SVMs, quantum kernels, and quantum neural networks. It bridges theory with real-world implementation through domain-focused chapters covering finance, healthcare, taxation systems, mobile networks, supply chains, cybersecurity, augmented reality dashboards, and e-commerce. By integrating conceptual clarity with applied frameworks, the book presents practical pathways for leveraging quantum-enhanced intelligence across industries.The book is intended for researchers, academicians, postgraduate students, industry professionals, data scientists, technology strategists, and policymakers seeking to understand and apply Quantum Machine Learning in advanced research, enterprise systems, and next-generation digital infrastructures.Key Features:Comprises Comprehensive Coverage: Balances foundational theory with practical applications.Comprises Cutting-Edge Content: Features the latest research and emerging trends in QML.Provides Practical Insights: Includes real-world case studies and examples for applying QML techniques.Comprises Expert Authorship: Written by a leading expert with strong academic and industry experience. This book explores the powerful convergence of quantum computing and machine learning, presenting foundational concepts, advanced algorithms such as Quantum SVMs and Quantum Neural Networks, and real-world applications across finance, healthcare, cybersecurity, telecommunications, and e-commerce. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. This work offers a structured and in-depth exploration of Quantum Machine Learning (QML), beginning with foundational quantum principles and progressing to advanced QML algorithms such as Quantum SVMs, quantum kernels, and quantum neural networks. It bridges theory with real-world implementation through domain-focused chapters covering finance, healthcare, taxation systems, mobile networks, supply chains, cybersecurity, augmented reality dashboards, and e-commerce. By integrating conceptual clarity with applied frameworks, the book presents practical pathways for leveraging quantum-enhanced intelligence across industries.The book is intended for researchers, academicians, postgraduate students, industry professionals, data scientists, technology strategists, and policymakers seeking to understand and apply Quantum Machine Learning in advanced research, enterprise systems, and next-generation digital infrastructures.Key Features:Comprises Comprehensive Coverage: Balances foundational theory with practical applications.Comprises Cutting-Edge Content: Features the latest research and emerging trends in QML.Provides Practical Insights: Includes real-world case studies and examples for applying QML techniques.Comprises Expert Authorship: Written by a leading expert with strong academic and industry experience. This book explores the powerful convergence of quantum computing and machine learning, presenting foundational concepts, advanced algorithms such as Quantum SVMs and Quantum Neural Networks, and real-world applications across finance, healthcare, cybersecurity, telecommunications, and e-commerce. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condición: new. Hardcover. This work offers a structured and in-depth exploration of Quantum Machine Learning (QML), beginning with foundational quantum principles and progressing to advanced QML algorithms such as Quantum SVMs, quantum kernels, and quantum neural networks. It bridges theory with real-world implementation through domain-focused chapters covering finance, healthcare, taxation systems, mobile networks, supply chains, cybersecurity, augmented reality dashboards, and e-commerce. By integrating conceptual clarity with applied frameworks, the book presents practical pathways for leveraging quantum-enhanced intelligence across industries.The book is intended for researchers, academicians, postgraduate students, industry professionals, data scientists, technology strategists, and policymakers seeking to understand and apply Quantum Machine Learning in advanced research, enterprise systems, and next-generation digital infrastructures.Key Features:Comprises Comprehensive Coverage: Balances foundational theory with practical applications.Comprises Cutting-Edge Content: Features the latest research and emerging trends in QML.Provides Practical Insights: Includes real-world case studies and examples for applying QML techniques.Comprises Expert Authorship: Written by a leading expert with strong academic and industry experience. This book explores the powerful convergence of quantum computing and machine learning, presenting foundational concepts, advanced algorithms such as Quantum SVMs and Quantum Neural Networks, and real-world applications across finance, healthcare, cybersecurity, telecommunications, and e-commerce. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…