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The Moral Dimensions of International Conduct
Verlag: Georgetown University Press, 1983
ISBN 10: 0878404066 ISBN 13: 9780878404063
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Used book that is in clean, average condition without any missing pages.
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Zustand: New. pp. 304.
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Probabilistic Machine Learning for Civil Engineers
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Used book that is in clean, average condition without any missing pages.
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PROBABILISTIC MACHINE LEARNING FOR CIVIL ENGINEERS
Anbieter: Basi6 International, Irving, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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PROBABILISTIC MACHINE LEARNING FOR CIVIL ENGINEERS
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Probabilistic Machine Learning for Civil Engineers (Paperback)
Verlag: MIT Press Ltd, Cambridge, Mass., 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises.This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws.The book presents key approaches in the three subfields of probabilistic machine learning- supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment. An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Probabilistic Machine Learning for Civil Engineers (Mit Press)
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
EUR 50,64
EUR 7,42 für den Versand von Vereinigtes Königreich nach USAAnzahl: 4 verfügbar
In den WarenkorbZustand: New. pp. 304.
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Probabilistic Machine Learning for Civil Engineers
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New.
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Probabilistic Machine Learning for Civil Engineers (Mit Press)
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 304.
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Probabilistic Machine Learning for Civil Engineers (Mit Press)
Anbieter: ALLBOOKS1, Direk, SA, Australien
Verkäuferbewertung 5 von 5 Sternen
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Probabilistic Machine Learning For Civil Engineers The Mit Press
Verlag: Mit Press, 2020
Sprache: Englisch
Anbieter: Books in my Basket, New Delhi, Indien
Verkäuferbewertung 5 von 5 Sternen
Soft cover. Zustand: New. ISBN:9780262538701.
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EUR 63,34
Kostenlos für den Versand innerhalb von/der USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New.
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Probabilistic Machine Learning for Civil Engineers
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition.
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Traumatismos de cadera y pelvis (Orthopedic Clinics of North America, Num. 4, 2004, Tapa dura) EDICIÓN ESPAÑOLA
Anbieter: Libros Angulo, Madrid, M, Spanien
Verkäuferbewertung 5 von 5 Sternen
Encuadernación de tapa dura. Zustand: Bien. Panamericana, 2006. Ciencias de la Salud, Naturales y Divulgación Científica. Especialidades. Medicina. Patología general. Medicina clínica. Terapéutica. Profusamente ilustrado. 100 páginas aprox. 25 x 18. Tapa dura con sobrecubierta de editorial ilustrada. Sin subrayados. Perfecto estado de conservación. ISBN: 8479033037.
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Probabilistic Machine Learning for Civil Engineers
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 78,34
EUR 14,27 für den Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 269 pages. 9.75x8.00x0.75 inches. In Stock.
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Probabilistic Machine Learning for Civil Engineers
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Verkäuferbewertung 5 von 5 Sternen
EUR 65,43
EUR 43,10 für den Versand innerhalb von/der USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New.
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Probabilistic Machine Learning for Civil Engineers (Paperback)
Verlag: MIT Press Ltd, Cambridge, Mass., 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises.This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws.The book presents key approaches in the three subfields of probabilistic machine learning- supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment. An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Probabilistic Machine Learning for Civil Engineers
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 64,52
EUR 74,20 für den Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New.
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ProbabilisticMachineLearningforCivilEngineers Format: TradePaperback
Verlag: Penguin Random House
ISBN 10: 0262538709 ISBN 13: 9780262538701
EUR 49,18
Kostenlos für den Versand innerhalb von/der USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: As New. Unread copy in mint condition.
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ProbabilisticMachineLearningforCivilEngineers Format: TradePaperback
Verlag: Penguin Random House
ISBN 10: 0262538709 ISBN 13: 9780262538701
EUR 49,28
Kostenlos für den Versand innerhalb von/der USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Brand New.
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Blue Light: The Friendly Enemy (Original screenplay for the 1966 television episode)
Verlag: Twentieth Century-Fox Television, Los Angeles, 1965
Anbieter: Royal Books, Inc., ABAA, Baltimore, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Manuskript / Papierantiquität
First Draft script for the 14th (and final) episode of the first and only season of "Blue Light," originally aired on ABC on May 18, 1966. With manuscript ink annotations to the cast list noting the names of prospective actors for each role. An American spy living in Germany during World War II receives orders to kill a scientist who appears to be completing an atomic bomb for the SS, but soon realizes the man may be working against the Nazis after all. Set in Germany. Red titled wrappers, noted as FIRST DRAFT on the front wrapper, dated DECEMBER 22, 1965. Title page present, dated December 22, 1965, noted as FIRST DRAFT, with credits for screenwriter Harold Livingstone. 36 leaves, with last page of text numbered 33. Mimeograph duplication on eye-rest green stock, rectos only. Pages Near Fine, wrapper Very Good plus, bound with two gold brads.
