Publicado por Continental Academy Press, London
Librería: Continental Academy Press, London, SELEC, Reino Unido
EUR 10,11
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoSoftcover. Condición: New. Estado de la sobrecubierta: no dj. First. Quantum-Inspired Algorithms for Machine Learning Acceleration presents a groundbreaking exploration of the intersection of quantum computing and machine learning. By leveraging the principles of quantum computing, developers can create more efficient, scalable, and accurate machine learning algorithms. This book explores the latest techniques for implementing quantum-inspired algorithms in machine learning, including the use of quantum annealing and quantum circuit learning. Through a series of case studies and real-world examples, readers will learn how to design and implement quantum-inspired algorithms, including the use of strategies for accelerating machine learning training and inference. By harnessing the power of quantum-inspired algorithms, developers can create more effective, efficient, and responsive 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.