Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
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Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
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Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
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Añadir al carritohardcover. Condición: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.
Librería: CollegePoint, Inc, Jamestown, TN, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Good. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.
Librería: Academic US, Piscataway, NJ, Estados Unidos de America
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Librería: Jadewalky Book Company, HANOVER PARK, IL, Estados Unidos de America
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Añadir al carritoCondición: Used - Very Good. A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation.Probabilistic Machine Learning grew out of the author's 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 108,02
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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.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Añadir al carritoCondición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 110,87
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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.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
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Añadir al carritoCondición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Brand New. 826 pages. 9.25x8.25x1.50 inches. In Stock.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 124,79
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Mit Press, 2022
Librería: Books in my Basket, New Delhi, India
EUR 129,51
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Añadir al carritoHardcover. Condición: New. ISBN:9780262046824.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 133,08
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 135,62
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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 168,71
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Añadir al carritoCondición: New. 2022. Hardcover. . . . . .
Librería: Russell Books, Victoria, BC, Canada
EUR 168,84
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Añadir al carritoHardcover. Condición: New. Special order direct from the distributor.
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 200,90
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Añadir al carritoHardcover. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Publicado por MIT Press Ltd Mär 2022, 2022
ISBN 10: 0262046822 ISBN 13: 9780262046824
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 148,75
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Añadir al carritoBuch. Condición: Neu. Neuware - A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author's 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based not Elektronisches Buch, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 215,39
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Añadir al carritoCondición: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
EUR 149,05
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Añadir al carritoBuch. Condición: Neu. Probabilistic Machine Learning | An Introduction | Kevin P. Murphy | Buch | Einband - fest (Hardcover) | Englisch | 2022 | MIT Press Ltd | EAN 9780262046824 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
EUR 206,59
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Añadir al carritoHardcover. Condición: Brand New. 826 pages. 9.25x8.25x1.50 inches. In Stock.