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Probabilistic Machine Learning Introduction by Murphy Kevin (21 results)
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Language: English
Published by The MIT Press (edition ), 2022
ISBN 10: 0262046822 ISBN 13: 9780262046824
Hardcover. Condition: Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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hardcover. Condition: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.
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hardcover. Condition: As New. No highlighting. Very minimal wear.
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hardcover. Condition: New.
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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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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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Hardcover. Condition: New.
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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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Hardcover. Condition: 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.
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Condition: New.
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Hardcover. Condition: New. ISBN:9780262046824.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Probabilistic Machine Learning : An Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: new.
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Probabilistic Machine Learning : An Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: New. Special order direct from the distributor.
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Probabilistic Machine Learning: An Introduction
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2022. Hardcover. . . . . .
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Condition: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
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Hardcover. Condition: Brand New. 826 pages. 9.25x8.25x1.50 inches. In Stock.
