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Probabilistic Machine Learning Introduction by Murphy Kevin (23 results)
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US$ 79.86
Convert currencyUS$ 14.90 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to baskethardcover. Condition: Very Good. In stock ready to dispatch from the UK.
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Condition: New. New Book.
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hardcover. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Published by The MIT Press March 2022, 2022
ISBN 10: 0262046822 ISBN 13: 9780262046824
Language: English
Seller: Copperfield's Used and Rare Books, Petaluma, CA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Coll - U6 - Very Good. Hardcover, VG. Pages bright and clean. Minimal shelfwear.
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Seller: Jadewalky Book Company, HANOVER PARK, IL, U.S.A.
Seller rating 1 out of 5 stars
Condition: 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.
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Condition: New.
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Probabilistic Machine Learning : An Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 126.77
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Add to basketHardcover. Condition: Brand New. 826 pages. 9.25x8.25x1.50 inches. In Stock.
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US$ 130.20
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Add to basketHardcover. Condition: New. ISBN:9780262046824.
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
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US$ 147.00
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Probabilistic Machine Learning: An Introduction
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US$ 152.54
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Add to basketCondition: New. 2022. Hardcover. . . . . .
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning)
Published by MIT Press 2022-02-01, 2022
ISBN 10: 0262046822 ISBN 13: 9780262046824
Language: English
US$ 143.84
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Add to basketHardcover. Condition: New.
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Probabilistic Machine Learning : An Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 150.17
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US$ 162.36
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US$ 187.50
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Probabilistic Machine Learning : An Introduction
Published by MIT Press Ltd Mär 2022, 2022
ISBN 10: 0262046822 ISBN 13: 9780262046824
Language: English
US$ 181.48
Convert currencyUS$ 41.58 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Neuware - 'This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR'--.
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US$ 236.95
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Add to basketHardcover. Condition: Brand New. 826 pages. 9.25x8.25x1.50 inches. In Stock.
