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ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear. 1.29 [Hawthorne, CA, U.S.A.] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 1.29 [Tucson, AZ, U.S.A.] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover Book is in NEW condition. 1.29 [Hawthorne, CA, U.S.A.] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover New! This book is in the same immaculate condition as when it was published 1.29 [Tucson, AZ, U.S.A.] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer International Publishing] Hardcover Druck auf Anfrage Neuware - Printed after ordering - Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices. [Einbeck, Germany] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within 1.29 [Amherst, NY, U.S.A.] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 1.29 [Tucson, AZ, U.S.A.] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within 1.29 [Amherst, NY, U.S.A.] [Publication Year: 2018]
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Supervised Learning with Quantum Computers. ISBN 3319964232 9783319964232 [GB]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.29 [Hawthorne, CA, U.S.A.] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer International Publishing] Hardcover Druck auf Anfrage Neuware - Printed after ordering - Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices. [Einbeck, Germany] [Publication Year: 2018]
ISBN10: 3319964232, ISBN13: 9783319964232, [publisher: Springer] Hardcover New [Redhill, SURRE, United Kingdom] [Publication Year: 2018]
DISCLOSURE:
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission at no extra cost to you. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network, Amazon and Alibris.
