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Quantum Machine Learning What by Wittek Peter (13 results)
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Condition: very_good. Fast Free Shipping â"Very good condition with a sturdy cover and clean pages. Lightly read and well cared for, showing only minimal shelf wear. May contain a few small marks but remains a solid copy to enjoy. Supplemental items like CDs or access codes may not be included.
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£ 71.50
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Add to basketCondition: New. pp.176.
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Condition: New. pp.176 1st NO-PA16APR2015-KAP.
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Condition: New. pp.176.
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£ 67.38
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Add to basketPaperback. Condition: Brand New. reprint edition. 176 pages. 8.75x5.75x0.50 inches. In Stock.
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Quantum Machine Learning: What Quantum Computing Means to Data Mining
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Quantum Machine Learning : What Quantum Computing Means to Data Mining
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 82.87
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Quantum Machine Learning : What Quantum Computing Means to Data Mining
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Quantum Machine Learning: What Quantum Computing Means to Data Mining
Published by Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128100400 ISBN 13: 9780128100400
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 98.85
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 230.
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Quantum Machine Learning : What Quantum Computing Means to Data Mining
Published by Elsevier Science & Technology, Academic Press, 2016
ISBN 10: 0128100400 ISBN 13: 9780128100400
Language: English
£ 75.99
Convert currency£ 53.22 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications.
