Isbn: 9786209209628 - quantum machine learning:: bridging qubits and algorithms for the next ai revolution (11 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Quantum Machine Learning: | Bridging Qubits and Algorithms for the Next AI Revolution | P. Margaret Savitha (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209209628 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 84 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The convergence of quantum computing and machine learning marks one of the most profound shifts in the history of computation. As classical algorithms begin to strain under the weight of data complexity, dimensionality, and energy demands, quantum machine learning (QML) emerges not merely as a technological upgrade-but as a conceptual leap. This book, Quantum Machine Learning: Bridging Qubits and Algorithms for the Next AI Revolution, is born from the conviction that the future of artificial intelligence lies in the entangled logic of quantum systems and the adaptive intelligence of learning algorithms.The journey into QML is not just about faster computation or exotic physics-it's about rethinking how machines learn, reason, and evolve. Quantum systems offer a radically different substrate for information processing: one that is probabilistic, parallel, and inherently high-dimensional. When fused with the principles of supervised, unsupervised, and reinforcement learning, these systems can unlock new capabilities in pattern recognition, optimization, generative modeling, and decision-making. …

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. The convergence of quantum computing and machine learning marks one of the most profound shifts in the history of computation. As classical algorithms begin to strain under the weight of data complexity, dimensionality, and energy demands, quantum machine learning (QML) emerges not merely as a technological upgrade-but as a conceptual leap. This book, Quantum Machine Learning: Bridging Qubits and Algorithms for the Next AI Revolution, is born from the conviction that the future of artificial intelligence lies in the entangled logic of quantum systems and the adaptive intelligence of learning algorithms.The journey into QML is not just about faster computation or exotic physics-it's about rethinking how machines learn, reason, and evolve. Quantum systems offer a radically different substrate for information processing: one that is probabilistic, parallel, and inherently high-dimensional. When fused with the principles of supervised, unsupervised, and reinforcement learning, these systems can unlock new capabilities in pattern recognition, optimization, generative modeling, and decision-making. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The convergence of quantum computing and machine learning marks one of the most profound shifts in the history of computation. As classical algorithms begin to strain under the weight of data complexity, dimensionality, and energy demands, quantum machine learning (QML) emerges not merely as a technological upgrade-but as a conceptual leap. This book, Quantum Machine Learning: Bridging Qubits and Algorithms for the Next AI Revolution, is born from the conviction that the future of artificial intelligence lies in the entangled logic of quantum systems and the adaptive intelligence of learning algorithms.The journey into QML is not just about faster computation or exotic physics-it's about rethinking how machines learn, reason, and evolve. Quantum systems offer a radically different substrate for information processing: one that is probabilistic, parallel, and inherently high-dimensional. When fused with the principles of supervised, unsupervised, and reinforcement learning, these systems can unlock new capabilities in pattern recognition, optimization, generative modeling, and decision-making.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. …