Verlag: Georgetown University Press, 1983
ISBN 10: 0878404066 ISBN 13: 9780878404063
Sprache: Englisch
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In den WarenkorbZustand: New. pp. 304.
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In den WarenkorbZustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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In den WarenkorbZustand: New. pp. 304.
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In den WarenkorbZustand: New. pp. 304.
Verlag: Mit Press, 2020
Sprache: Englisch
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In den WarenkorbEncuadernación 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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In den WarenkorbPaperback. Zustand: Brand New. 269 pages. 9.75x8.00x0.75 inches. In Stock.
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Verlag: MIT Press Ltd, Cambridge, Mass., 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Sprache: Englisch
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In den WarenkorbPaperback. 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.
Verlag: MIT Press Ltd, Cambridge, Mass., 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Sprache: Englisch
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In den WarenkorbPaperback. 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.
Verlag: Twentieth Century-Fox Television, Los Angeles, 1965
Anbieter: Royal Books, Inc., ABAA, Baltimore, MD, USA
Manuskript / Papierantiquität
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In den WarenkorbFirst 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.
Verlag: Penguin Random House
ISBN 10: 0262538709 ISBN 13: 9780262538701
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In den WarenkorbZustand: As New. Unread copy in mint condition.
Verlag: Penguin Random House
ISBN 10: 0262538709 ISBN 13: 9780262538701
Anbieter: INDOO, Avenel, NJ, USA
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In den WarenkorbZustand: New. Brand New.