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Data Science with Julia
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Language: English
paperback. 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!
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Data Science with Julia
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Language: English
£ 43.79
Convert currency£ 6 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: very good. Gently used. May include previous owner's signature or bookplate on the front endpaper, sticker on back and/or remainder mark on text block.
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£ 57.81
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Mixture Model-Based Classification
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367736950 ISBN 13: 9780367736958
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 60.22
Convert currency£ 8.60 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Data Science with Julia
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Language: English
£ 66.21
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New. pp. 240.
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Data Science with Julia
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Language: English
Condition: New. pp. 240.
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Condition: New.
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Data Science with Julia
Published by Taylor & Francis Ltd, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 68.87
Convert currency£ 8.43 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Data Science with Julia
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138499986 ISBN 13: 9781138499980
Language: English
Condition: New. pp. 240.
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£ 65.62
Convert currency£ 42.62 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. Peter Tait is a Ph.D. student at the Department of.
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£ 82.77
Convert currency£ 25 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 236 pages. 9.21x6.14x0.55 inches. In Stock.
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£ 95.71
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Add to basketPaperback. Condition: Brand New. 217 pages. 8.25x5.50x0.50 inches. In Stock.
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Data Science with Julia
Published by Chapman and Hall/CRC 2018-12-07, 2018
ISBN 10: 1138499994 ISBN 13: 9781138499997
Language: English
£ 118.57
Convert currency£ 15.49 shipping from United Kingdom to U.S.A.Quantity: 5 available
Add to basketHardcover. Condition: New.
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Mixture Model-Based Classification
Published by Chapman and Hall/CRC, 2016
ISBN 10: 1482225662 ISBN 13: 9781482225662
Language: English
£ 113
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Add to basketHardcover. Condition: Like New. Like New. book.
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£ 103.68
Convert currency£ 42.62 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some ti.
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Data Science with Julia
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138499994 ISBN 13: 9781138499997
Language: English
£ 175.14
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
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£ 126.83
Convert currency£ 54.27 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised, semi-supervised, and supervised classification paradigms. Case studies illustrate both non-Gaussian and Gaussian approaches to model selection.
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Data Science with Julia
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138499994 ISBN 13: 9781138499997
Language: English
Condition: New.
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Data Science with Julia
Published by Taylor & Francis Ltd, 2018
ISBN 10: 1138499994 ISBN 13: 9781138499997
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 191.18
Convert currency£ 8.43 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 168.
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Data Science with Julia
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138499994 ISBN 13: 9781138499997
Language: English
£ 200.03
Convert currency£ 8.66 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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£ 167.05
Convert currency£ 42.62 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. Peter Tait is a Ph.D. student at the Department of.
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Mixture Model-Based Classification
Published by Taylor & Francis, Chapman And Hall/CRC, 2020
ISBN 10: 0367736950 ISBN 13: 9780367736958
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 54.48
Convert currency£ 20.01 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature.' (Douglas Steinley, University of Missouri)Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a clusterPaul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models. 236 pp. Englisch.
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£ 58.11
Convert currency£ 42.62 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some ti.
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Mixture Model-Based Classification
Published by Taylor & Francis, Chapman And Hall/CRC, 2020
ISBN 10: 0367736950 ISBN 13: 9780367736958
Language: English
£ 61.86
Convert currency£ 53.80 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature.' (Douglas Steinley, University of Missouri)Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a clusterPaul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.
