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System Design for Epidemics Using Machine Learning and Deep Learning
Language: English
Published by Springer International Publishing AG, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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System Design for Epidemics Using Machine Learning and Deep Learning (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
Hardcover. Condition: new. Hardcover. This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time. This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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System Design for Epidemics Using Machine Learning and Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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System Design for Epidemics Using Machine Learning and Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: NEW.
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System Design for Epidemics Using Machine Learning and Deep Learning (Signals and Communication Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 157.11
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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System Design for Epidemics Using Machine Learning and Deep Learning (Signals and Communication Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 157.11
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Hardcover. Condition: New.
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Condition: NEW.
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Hardcover. Condition: Brand New. 347 pages. 9.25x6.10x0.81 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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System Design For Epidemics Using Machin
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Condition: As New. Unread book in perfect condition.
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System Design for Epidemics Using Machine Learning and Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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System Design for Epidemics Using Machine Learning and Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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System Design for Epidemics Using Machine Learning and Deep Learning
Language: English
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
Hardback. Condition: New. 2023 ed.
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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System Design for Epidemics Using Machine Learning and Deep Learning
Language: English
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 2023 ed.
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Condition: New.
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System Design for Epidemics Using Machine Learning and Deep Learning
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
Condition: New. This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infr.
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Taschenbuch. Condition: Neu. System Design for Epidemics Using Machine Learning and Deep Learning | G. R. Kanagachidambaresan (u. a.) | Taschenbuch | Signals and Communication Technology | xxii | Englisch | 2024 | Springer | EAN 9783031197543 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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System Design for Epidemics Using Machine Learning and Deep Learning
Language: English
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
Hardback. Condition: New. 2023 ed.
-
Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
-
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.
