Lingua: Inglese
Editore: Orion Scientific Publishing, 2016
ISBN 10: 0692741542 ISBN 13: 9780692741542
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 13,76
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Orion Scientific Publishing 4/19/2016, 2016
ISBN 10: 0692741542 ISBN 13: 9780692741542
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Radiation and You. Book.
Lingua: Inglese
Editore: Orion Scientific Publishing, 2016
ISBN 10: 0692741542 ISBN 13: 9780692741542
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 15,04
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Orion Scientific Publishing, 2016
ISBN 10: 0692741542 ISBN 13: 9780692741542
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 20,18
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Orion Scientific Publishing, 2016
ISBN 10: 0692741542 ISBN 13: 9780692741542
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 26,80
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Da: Majestic Books, Hounslow, Regno Unito
EUR 54,93
Quantità: 1 disponibili
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Da: California Books, Miami, FL, U.S.A.
EUR 66,42
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 55,22
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 17,27
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Aggiungi al carrelloCondizione: New. Über den AutorRyan G. McClarren, PhD is a nuclear engineering educator and researcher. He uses computers to understand how radiation moves through nuclear reactors and other systems. When not pushing radiation around on a computer, .
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 66,42
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Chiron Media, Wallingford, Regno Unito
EUR 62,86
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2016
ISBN 10: 0692741542 ISBN 13: 9780692741542
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 20,09
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Radiation is all around us: in the rocks under the ground, naturally in food, and raining down from outer space. Most of this radiation is natural, and some of it we use to make our lives better. This book teaches elementary age students the basics of the atom and radioactivity and shows where radiation can be found and how it can be used to improve our lives. A glossary gives definitions of key terms in the radiation and nuclear sciences. This book will teach children that: - Atoms are the building blocks of nature. - Radiation comes to us from natural and artificial sources. - Medicine and dentistry use radiation. - Too much radiation can be dangerous. - Radiation is used to give us energy, learn about dinosaurs, and understand how people lived thousands of years ago.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,80
Quantità: 1 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 72,99
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: California Books, Miami, FL, U.S.A.
EUR 96,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 85,63
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 260 pages. 9.25x6.10x0.71 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 84,66
Quantità: Più di 20 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 84,65
Quantità: 6 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 92,77
Quantità: 6 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030703908 ISBN 13: 9783030703905
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,84
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally 'analog' disciplines-mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers' ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.
Condizione: New.
Da: preigu, Osnabrück, Germania
EUR 54,80
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning for Engineers | Using data to solve problems for physical systems | Ryan G. McClarren | Taschenbuch | xiii | Englisch | 2022 | Springer | EAN 9783030703905 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2018
ISBN 10: 3319995243 ISBN 13: 9783319995243
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 132,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2018 ed.
Da: Revaluation Books, Exeter, Regno Unito
EUR 128,31
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 260 pages. 9.25x6.10x0.87 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030703878 ISBN 13: 9783030703875
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 85,59
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally 'analog' disciplines-mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers' ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.