Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
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Añadir al carritoCondición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Idioma: Inglés
Publicado por The MIT Press Bookstore, 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 40,62
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Añadir al carritoCondición: New. pp. 304.
Librería: Massive Bookshop, Greenfield, MA, Estados Unidos de America
EUR 43,54
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por MIT Press Ltd, Cambridge, Mass., 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 53,12
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 51,83
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Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 54,13
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 54,13
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por The MIT Press Bookstore, 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Librería: Majestic Books, Hounslow, Reino Unido
EUR 47,65
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 304.
Idioma: Inglés
Publicado por The MIT Press Bookstore, 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 48,51
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Añadir al carritoCondición: New. pp. 304.
Librería: ALLBOOKS1, Direk, SA, Australia
EUR 61,62
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Añadir al carritoBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 62,14
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Añadir al carritoPaperback. Condición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 61,16
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 71,19
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2020. Illustrated. Paperback. . . . . .
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 86,67
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Añadir al carritoPaperback. Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 76,72
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Añadir al carritoPaperback. Condición: Brand New. 269 pages. 9.75x8.00x0.75 inches. In Stock.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 86,87
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Añadir al carritoCondición: New. 2020. Illustrated. Paperback. . . . . . Books ship from the US and Ireland.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 63,29
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por MIT Press Ltd, Cambridge, Mass., 2020
ISBN 10: 0262538709 ISBN 13: 9780262538701
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 103,37
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
EUR 56,41
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Añadir al carritoPaperback. Condición: New.
Publicado por Penguin Random House
ISBN 10: 0262538709 ISBN 13: 9780262538701
Librería: INDOO, Avenel, NJ, Estados Unidos de America
EUR 48,25
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Añadir al carritoCondición: As New. Unread copy in mint condition.
Publicado por Penguin Random House
ISBN 10: 0262538709 ISBN 13: 9780262538701
Librería: INDOO, Avenel, NJ, Estados Unidos de America
EUR 48,34
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Añadir al carritoCondición: New. Brand New.