The Resource Machine learning : a probabilistic perspective, Kevin P. Murphy
Machine learning : a probabilistic perspective, Kevin P. Murphy
Resource Information
The item Machine learning : a probabilistic perspective, Kevin P. Murphy represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Machine learning : a probabilistic perspective, Kevin P. Murphy represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- "This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online"--Back cover
- Language
- eng
- Label
- Machine learning : a probabilistic perspective
- Title
- Machine learning
- Title remainder
- a probabilistic perspective
- Statement of responsibility
- Kevin P. Murphy
- Language
- eng
- Summary
- "This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online"--Back cover
- Cataloging source
- DLC
- http://library.link/vocab/creatorDate
- 1970-
- http://library.link/vocab/creatorName
- Murphy, Kevin P.
- Illustrations
- illustrations
- Index
- index present
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/subjectName
-
- Machine learning
- Probabilities
- Label
- Machine learning : a probabilistic perspective, Kevin P. Murphy
- Bibliography note
- Includes bibliographical references (p. [1015]-1045) and indexes
- Control code
- ocn864935789
- Dimensions
- 24 cm.
- Extent
- xxix, 1,071 p.
- Isbn
- 9780262018029
- Lccn
- 2012004558
- Other physical details
- ill. (some col.)
- Label
- Machine learning : a probabilistic perspective, Kevin P. Murphy
- Bibliography note
- Includes bibliographical references (p. [1015]-1045) and indexes
- Control code
- ocn864935789
- Dimensions
- 24 cm.
- Extent
- xxix, 1,071 p.
- Isbn
- 9780262018029
- Lccn
- 2012004558
- Other physical details
- ill. (some col.)
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Machine-learning--a-probabilistic-perspective/N55bHZ45dW4/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Machine-learning--a-probabilistic-perspective/N55bHZ45dW4/">Machine learning : a probabilistic perspective, Kevin P. Murphy</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Machine-learning--a-probabilistic-perspective/N55bHZ45dW4/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Machine-learning--a-probabilistic-perspective/N55bHZ45dW4/">Machine learning : a probabilistic perspective, Kevin P. Murphy</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
