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Machine Learning Probabilistic Perspective by Murphy Kevin (29 results)
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hardcover. Condition: Good.
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Language: English
Published by The MIT Press (edition Illustrated), 2012
ISBN 10: 0262018020 ISBN 13: 9780262018029
Hardcover. Condition: Good. Illustrated. 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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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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hardcover. Condition: Good. Illustrated. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Add to basketCondition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,2050grams, ISBN:9780262018029.
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Add to basketCondition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,2050grams, ISBN:9780262018029.
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Condition: Gut. 1096 S. Zustand gut. Kleine Schrammen auf dem Einband. Schnitt leicht gewellt. 364 Sprache: Englisch Gewicht in Gramm: 1900 Gebundene Ausgabe, Maße: 21.11 cm x 4.09 cm x 23.65 cm.
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Machine Learning : A Probabilistic Perspective
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Machine Learning : A Probabilistic Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: 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.
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Add to baskethardcover. Condition: New.
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketHardcover. Condition: Brand New. 1st edition. 1104 pages. 9.10x8.10x1.70 inches. In Stock.
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Hardcover. Condition: New. ISBN:9780262018029.
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Add to basketHardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Hardcover. Condition: Sehr gut. Gebraucht - Sehr gut Sg - leichte Beschädigungen, Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - 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.
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Machine Learning : A Probabilistic Perspective
Language: English
Published by MIT Press Ltd Aug 2012, 2012
ISBN 10: 0262018020 ISBN 13: 9780262018029
Buch. Condition: Neu. Neuware - 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.
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Buch. Condition: Neu. Machine Learning | A Probabilistic Perspective | Kevin P. Murphy | Buch | Adaptive Computation and Machine Learning series | Einband - fest (Hardcover) | Englisch | 2012 | MIT Press Ltd | EAN 9780262018029 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
