Items related to Machine Learning – A Probabilistic Perspective
Synopsis
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. 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. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
"synopsis" may belong to another edition of this title.
About the Author
Kevin P. Murphy is a Research Scientist at Google. Previously, he was Associate Professor of Computer Science and Statistics at the University of British Columbia.
"About this title" may belong to another edition of this title.
Search results for Machine Learning – A Probabilistic Perspective
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Acceptable. DAMAGED - Bruise/tear to cover/spine. Seller Inventory # mon0000051098
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_470693592
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_478141519
Stock Image
The Machine Learning: A Probabilistic Perspective
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0262018020I5N00
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Published by
The MIT Press (edition Illustrated), 2012
ISBN 10: 0262018020
ISBN 13: 9780262018029
Used
Hardcover
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 0262018020-11-1
Seller Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
Seller rating 5 out of 5 stars
Condition: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy. Seller Inventory # SEWV.0262018020.A
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Facetextbooks, LITTLE ROCK, AR, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Good. May contain some writing/highlighting. Cover shows wear from normal use. Supplemental materials such as CDs or access codes are not included unless otherwise noted. Seller Inventory # mon0000026055
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Abyssbooks, Crestone, CO, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Very Good. VG+, sound and clean with minor corner wear. Due to weight will require some extra postage. Seller Inventory # 5167
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Acceptable. DAMAGED - Binding is broken and loose. Seller Inventory # mon0000043330
Stock Image
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00108110130