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Machine Learning Probabilistic Perspective by Murphy Kevin (30 results)
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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!
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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hardcover. Condition: As New. Illustrated. LIKE NEW/UNREAD!!! Text is Clean and Unmarked! Has a small black line or red dot on the bottom/exterior edge of pages.
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
US$ 50.44
Convert currencyUS$ 7.44 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Hardcover. Condition: very good. little wear and tear.
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US$ 66.25
Convert currencyUS$ 10.05 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
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Hardcover. Condition: new. Prompt service guaranteed.
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US$ 68.37
Convert currencyUS$ 26.74 shipping from United Kingdom to U.S.A.Quantity: 1 available
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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US$ 68.37
Convert currencyUS$ 26.74 shipping from United Kingdom to U.S.A.Quantity: 1 available
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: 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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Machine Learning : A Probabilistic Perspective
Published by The MIT Press, Cambridge, Massachusetts, 2012
ISBN 10: 0262018020 ISBN 13: 9780262018029
Language: English
US$ 76.72
Convert currencyUS$ 39.83 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketHardcover. Condition: Good. Former academic library book, with library bookplate to front pastedown; ink stamps to endpapers and text-block edges, including withdrawn stamp; spine label and shelf number to spine. Some pages a little marked and creased, but free from notes or highlighting. Overall, sound and serviceable. Publisher's note: "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. Size: 23.6 x 21.1 x 4.1 cm. xxix, 1067 pp. Shipped Weight: 1-2 kilos. Category: Computers & Internet; Machine learning; Probabilities; Probabilities; ISBN: 0262018020. ISBN/EAN: 9780262018029. Add. Inventory No: 250310SH7205.
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Condition: New.
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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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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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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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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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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Machine Learning : A Probabilistic Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 110.63
Convert currencyUS$ 19.92 shipping from United Kingdom to U.S.A.Quantity: 6 available
Add to basketCondition: New.
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Machine Learning : A Probabilistic Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 110.60
Convert currencyUS$ 19.92 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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US$ 65.27
Convert currencyUS$ 68.66 shipping from Germany to U.S.A.Quantity: 1 available
Add to baskethardcover. Condition: Gut. 1096 Seiten; 9780262018029.3 Gewicht in Gramm: 2.
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Condition: As New. Unread book in perfect condition.
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 126.41
Convert currencyUS$ 15.91 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New. In.
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Machine Learning : A Probabilistic Perspective
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 130.33
Convert currencyUS$ 19.92 shipping from United Kingdom to U.S.A.Quantity: 6 available
Add to basketCondition: As New. Unread book in perfect condition.
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US$ 142.86
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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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Machine Learning : A Probabilistic Perspective
Published by MIT Press Ltd Aug 2012, 2012
ISBN 10: 0262018020 ISBN 13: 9780262018029
Language: English
US$ 145.46
Convert currencyUS$ 42.18 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. 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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US$ 172.33
Convert currencyUS$ 33.20 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Like New. Like New. book.
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US$ 83.86
Convert currencyUS$ 27.91 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: 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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US$ 130.20
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Add to basketHardcover. Condition: New. ISBN:9780262018029.
