51. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Bishop Christopher, M.: 
Price: USD 58.94
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Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover 758 Seiten; 9780387310732.3 Sprache: Deutsch Gewicht in Gramm: 4 [Stuttgart, Germany] [Publication Year: 2007]  

52. Pattern Recognition and Machine Learning
by M. Bishop Christopher 
Price: USD 59.95
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Description: Springer. Very Good. Date: 2006. Hardcover. 0387310738 . This book is in very good condition; no remainder marks. It does have some cover shelfwear and corner wear. Inside pages are clean. ; Information Science and Statistics; Height: 10.2 Inches, Leng; 738 pages . 2006. Springer ISBN 0387310738 9780387310732 [US] 

53. Pattern Recognition And Machine Learning by Christopher M Bishop
by Christopher M Bishop 
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54. Pattern Recognition and Machine Learning
by M., Bishop, Christopher 
Price: USD 59.95
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Description: Springer 2006 2006. Corr. 2nd Printing 2011 ed. Hardcover Very Good 0387310738. This book is in very good condition; no remainder marks. It does have some cover shelfwear and corner wear. Inside pages are clean.; Information Science and Statistics; Height: 10.2 Inches, Leng; 738 pages. 

55. Pattern Recognition and Machine Learning
by Christopher M. Bishop 
Price: USD 63.06
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Description: Springer Verlag, Date: 2006-08-17. Hardback. Good. Good condition. There are some scuffs and light dents to the edges and corners of the cover as well as some marks on the page edges. Otherwise in very good condition with pages crisp and clean. 2006. Springer Verlag ISBN 0387310738 9780387310732 [GB] 

56. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Bishop Christopher, M.: 
Price: USD 64.48
Dealer: AbebooksDE, Studibuch
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover 758 Seiten; 9780387310732.3 Sprache: Deutsch Gewicht in Gramm: 4 [Stuttgart, Germany] [Publication Year: 2007]  

57. Information Science and Statistics: Pattern Recognition and Machine Learning
by Christopher M. Bishop 
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Dealer: ZVAB, Anybook.com
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer-Verlag New York Inc.] Hardcover This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1850grams, ISBN:9780387310732 [Lincoln, United Kingdom] [Publication Year: 2006]  

58. Information Science and Statistics: Pattern Recognition and Machine Learning
by Christopher M. Bishop 
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Description: Springer-Verlag New York Inc., Date: 2006. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1850grams, ISBN:9780387310732 2006. Springer-Verlag New York Inc. ISBN 0387310738 9780387310732 [GB] 

59. Pattern Recognition and Machine Learning Information Science and Statistics
by Bishop Christopher M 
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Dealer: Biblio, Amazing Books & Records
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60. Information Science and Statistics: Pattern Recognition and Machine Learning
by Christopher M. Bishop 
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Dealer: AbebooksUK, Anybook.com
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer-Verlag New York Inc.] Hardcover This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1850grams, ISBN:9780387310732 [Lincoln, United Kingdom] [Publication Year: 2006]  

61. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Bishop, Christopher M. 
Price: USD 69.80
Dealer: Abebooks, Book Deals
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. [Tucson, AZ, U.S.A.] [Publication Year: 2006]  

62. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Christopher M. Bishop 
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Dealer: ZVAB, WorldofBooks
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer-Verlag New York Inc., United States, New York, NY] Softcover Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. [Goring-By-Sea, WS, United Kingdom] [Publication Year: 2006]  

63. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Bishop, Christopher M. 
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Dealer: Abebooks, GoldBooks
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64. Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics)
by Christopher M. Bishop 
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Dealer: ZVAB, Cambridge Rare Books
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover 2009. Springer. Hardcover. GOOD Blue and yellow titles, illustrated boards. 10x7 [Cambridge, GLOUC, United Kingdom] [Publication Year: 2009]  

65. Pattern Recognition And Machine Learning
by Bishop, Christopher M. 
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Dealer: AbebooksUK, Pieuler Store
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66. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Christopher M. Bishop 
Price: USD 77.30
Dealer: AbebooksUK, WorldofBooks
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer-Verlag New York Inc., United States, New York, NY] Softcover Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. [Goring-By-Sea, WS, United Kingdom] [Publication Year: 2006]  

67. Information Science and Statistics: Pattern Recognition and Machine Learning
by Christopher M. Bishop 
Price: USD 77.86
Dealer: Alibris, Anybook.com via Alibris
Description: Springer-Verlag New York Inc 2006 2006. Corr. 2nd Printing 2011 ed. Hard cover This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1850grams, ISBN: 9780387310732. 

68. Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics)
by Christopher M. Bishop 
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Dealer: AbebooksUK, Cambridge Rare Books
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover 2009. Springer. Hardcover. GOOD Blue and yellow titles, illustrated boards. 10x7 [Cambridge, GLOUC, United Kingdom] [Publication Year: 2009]  

69. Pattern Recognition and Machine Learning
by Christopher M. Bishop 
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Dealer: ZVAB, moluna
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer New York] Hardcover First text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. Presents approximate inference algorithms that permit fast approximate answers in situations where exact answers ar. [Greven, Germany] [Publication Year: 2006]  

70. Pattern Recognition and Machine Learning Information Science and Statistics
by Bishop Christopher M. 
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Dealer: Biblio, The Book Forest
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71. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Bishop, Christopher M. 
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Dealer: Alibris, Book Forest via Alibris
Description: Springer 2006 2006. Corr. 2nd Printing 2011 ed. Hard cover New Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010. 

72. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Bishop, Christopher M. 
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Dealer: Abebooks, thebookforest.com
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010. [San Rafael, CA, U.S.A.] [Publication Year: 2006]  

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by Bishop, Christopher M 
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Dealer: Alibris, GreatBookPricesUK5 via Alibris
Description: New York, NY Springer 2006 2006. Corr. 2nd Printing 2011 ed. Hard cover Good. Sewn binding. Paper over boards. 778 p. Information Science and Statistics. 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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by Christopher M. Bishop 
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Dealer: AbebooksDE, moluna
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer New York] Hardcover First text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. Presents approximate inference algorithms that permit fast approximate answers in situations where exact answers ar. [Greven, Germany] [Publication Year: 2006]  

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by Christopher M. Bishop 
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Dealer: Alibris, Cambridge Rare Books via Alibris
Description: Springer 2009 2006. Corr. 2nd Printing 2011 ed. Hardcover 2009. Springer. Hardcover. GOOD Blue and yellow titles, illustrated boards. 10x7. 

76. Pattern Recognition and Machine Learning Information Science and Statistics
by Christopher M. Bishop 
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77. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Christopher M. Bishop 
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Dealer: Abebooks, Pella Books
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by Bishop, Christopher M. 
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by Bishop, Christopher M 
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by Bishop, Christopher M. 
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Dealer: Alibris, Book Words via Alibris
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by Christopher M. Bishop 
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by Christopher M Bishop 
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Dealer: ZVAB, AHA-BUCH GmbH
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer Nature Singapore Aug 2006] Hardcover Neuware - Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. [Einbeck, Germany] [Publication Year: 2006]  

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by Bishop, Christopher M. 
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Dealer: Alibris, Dotcom liquidators / dc1 via Alibris
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by Christopher M Bishop 
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Dealer: AbebooksDE, Rheinberg-Buch Andreas Meier eK
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer Nature Singapore Aug 2006] Hardcover Neuware -Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. 778 pp. Englisch [Bergisch Gladbach, Germany] [Publication Year: 2006]  

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by Christopher M Bishop 
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Dealer: AbebooksDE, BuchWeltWeit Ludwig Meier e.K.
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer Nature Singapore Aug 2006] Hardcover Neuware -Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. 778 pp. Englisch [Bergisch Gladbach, Germany] [Publication Year: 2006]  

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by Christopher M. Bishop 
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Dealer: AbebooksUK, Blackwell's
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by Bishop, Christopher M. 
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Dealer: Alibris, TEXTSHUB via Alibris
Description: Springer 2006-08-17 2006. Corr. 2nd Printing 2011 ed. Hardcover Good US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA. 

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by Bishop, Christopher M. 
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Dealer: Abebooks, Byrd Books
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by Christopher M Bishop 
Price: USD 105.00
Dealer: AbebooksDE, AHA-BUCH GmbH
Description: ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer Nature Singapore Aug 2006] Hardcover Neuware - Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. [Einbeck, Germany] [Publication Year: 2006]  

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by Christopher M. Bishop 
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Dealer: Alibris, Revaluation Books via Alibris
Description: Springer Verlag 2006 2006. Corr. 2nd Printing 2011 ed. Hardcover New 1st edition. 738 pages. 9.25x7.25x1.75 inches. 

94. Pattern Recognition and Machine Learning (Information Science and Statistics)
by Bishop, Christopher M. 
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Dealer: Abebooks, Book Deals
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by Bishop, Christopher M. 
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by Christopher M. Bishop 
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Dealer: Alibris, Blackwell's via Alibris
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by Bishop Christopher M 
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Dealer: Biblio, SGS Trading Inc
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by Bishop, Christopher M 
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100. Pattern Recognition and Machine Learning (Information Science and Statistics)
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