Advancing Quantum Algorithms Machine Learning by Continental Academy Press (3 results)

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Quantum algorithms have the potential to revolutionize machine learning by enabling faster, more accurate, and more efficient processing of complex data. Advancing Quantum Algorithms for Machine Learning presents a comprehensive guide to harnessing the power of quantum algorithms in machine learning, including techniques for quantum circuit design, quantum simulation, and machine learning theory. By exploring the latest research and applications, readers will learn to create quantum algorithms that improve machine learning performance, reduce computational costs, and enhance overall system efficiency. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advancing Quantum Algorithms for Machine Learning investigates the intersection of quantum computing and artificial intelligence. This book explores how quantum algorithms can accelerate data processing, optimize learning models, and solve complex problems beyond classical capabilities. It covers foundational principles, algorithm design, and potential applications in pattern recognition, data analysis, and predictive modeling. The narrative underscores the transformative impact quantum computing could have on machine learning, opening new horizons for research and practical implementation. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The intersection of quantum computing and machine learning has given rise to a new era of possibilities for artificial intelligence. In 'Advancing Quantum Algorithms for Machine Learning', we explore the latest advancements in quantum algorithms for machine learning, from linear algebra to optimization. This book provides a comprehensive overview of the current state of quantum machine learning, including the key challenges, opportunities, and best practices. By leveraging quantum algorithms, machine learning developers can create more efficient, accurate, and scalable models that meet the needs of complex real-world applications. With its emphasis on practical applications and real-world case studies, this book is an indispensable resource for anyone involved in the development of machine learning systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.