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Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Etat : Neu. Neuware.

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Etat : New. Print on Demand.

Etat : New. Print on Demand.

Etat : New. Print on Demand.

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Paperback. Etat : New. This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies.In summary, the book: Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines. Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks. Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting. Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost. Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects.This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.…

Paperback. Etat : Brand New. 288 pages. 6.14x0.63x9.21 inches. In Stock.

hardcover. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : New.

Etat : New. Dr. Karthikeyan Saminathan is currently working as an Associate Professor(Research) in the Department of Cyber Security at Sri Venkateshwara College of Engineering, Bengaluru, Karnataka, India and He is associated with Bluechip CyberTech.

Etat : As New. Unread book in perfect condition.

Etat : New.

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Taschenbuch. Etat : Neu. Neuware - This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies.In summary, the book: - Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines. - Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks. - Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting. - Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost. - Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects. This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.…

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Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

Etat : New. 1st edition NO-PA16APR2015-KAP.

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

Paperback. Etat : New. This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies.In summary, the book: Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines. Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks. Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting. Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost. Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects.This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.…