Min Zhang (Over 9,300 results)

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Soft cover. Condition: Near Fine. No Jacket. Near Fine condition soft cover book. Beijing Scenes - Summer Palace ONLY. Light shelf wear to covers. Pages smudged. All books are individually inspected and described. Never X-Library unless specifically described as such.

hardcover. Condition: Very Good.

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Soft cover. Condition: New. 62p, ills, map. In Chinese. Chinese title: Shenqixziagu-Yaluzangbu. On the area near the Tsangpo Gorge.

paperback. Condition: Very Good. Cover and edges may have some wear.

Condition: New.

Hardback. Condition: New. Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities. However, the field remains fragmented-balancing rigorous quantum theory with practical AI applications remains a challenge. This book bridges this gap, offering a systematic, hands-on guide for AI researchers, ML practitioners, and computer scientists eager to explore this emerging frontier. It provides a cohesive roadmap, covering everything from fundamental quantum computing principles to state-of-the-art QML techniques. Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations. The book's code demonstrations offer hands-on experience, ensuring that readers can move beyond theory to real-world applications.Designed for those with an AI or ML background, this tutorial does not assume prior expertise in quantum computing. Instead, it presents complex concepts with clarity, making it an essential resource for researchers, graduate students, and industry professionals eager to stay ahead in the quantum AI revolution. Whether you seek to understand quantum speedups, develop quantum-based models, or explore future research directions, this book provides the foundation you need to engage with QML and shape the future of intelligent computing.…

Condition: New. Ponzo, Eugenia (illustrator).

Condition: New. Ponzo, Eugenia (illustrator).

Condition: As New. Unread book in perfect condition. Ponzo, Eugenia (illustrator).

Paperback. Condition: Brand New. 550 pages. 0.00x0.00x0.00 inches. In Stock.

Condition: New.

Couverture souple. Condition: Neuf. Foreign Language Teaching and Research Press Pub. collection , 2009. 1 volume broché(s) format In-8 neuf French DELF exam Raiders B1 (with CD Disc 2) Réussir le Delf niveau B1.

Paperback. Condition: Very Good. Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I (Lecture Notes in Computer Science) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

Paperback. Condition: Brand New. 52 pages. 6.00x4.50x0.13 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities. However, the field remains fragmented-balancing rigorous quantum theory with practical AI applications remains a challenge. This book bridges this gap, offering a systematic, hands-on guide for AI researchers, ML practitioners, and computer scientists eager to explore this emerging frontier. It provides a cohesive roadmap, covering everything from fundamental quantum computing principles to state-of-the-art QML techniques. Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations. The book's code demonstrations offer hands-on experience, ensuring that readers can move beyond theory to real-world applications.Designed for those with an AI or ML background, this tutorial does not assume prior expertise in quantum computing. Instead, it presents complex concepts with clarity, making it an essential resource for researchers, graduate students, and industry professionals eager to stay ahead in the quantum AI revolution. Whether you seek to understand quantum speedups, develop quantum-based models, or explore future research directions, this book provides the foundation you need to engage with QML and shape the future of intelligent computing.…

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.