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ISBN 10 : 0521518148 ISBN 13 : 9780521518147
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Edité par Cambridge University Press, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2014
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Edité par Cambridge University Press, 2014
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Ajouter au panierSoft cover. Etat : New. ISBN:9781107439955.
Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press CUP, 2012
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Ajouter au panierEtat : New. pp. 720 Index.
Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2012
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Edité par Cambridge University Press, 2012
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Ajouter au panierHardcover. Etat : Brand New. 650 pages. 9.76x7.48x1.50 inches. In Stock.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107439957 ISBN 13 : 9781107439955
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Edité par Cambridge University Press, 2012
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.
Edité par Cambridge University Press, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
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Ajouter au panierHardcover. Etat : Brand New. 650 pages. 9.76x7.48x1.50 inches. In Stock. This item is printed on demand.
Edité par Cambridge University Press, Cambridge, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online. This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
Langue: anglais
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Ajouter au panierEtat : New. Print on Demand pp. 720 287 Illus.
Edité par Cambridge University Press, Cambridge, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online. This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
Langue: anglais
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EUR 128,79
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 720.
Edité par Cambridge University Press, Cambridge, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online. This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, 2012
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 156,84
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online .
Edité par Cambridge University Press, 2019
ISBN 10 : 0521518148 ISBN 13 : 9780521518147
Langue: anglais
Vendeur : preigu, Osnabrück, Allemagne
EUR 163,30
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Ajouter au panierBuch. Etat : Neu. Bayesian Reasoning and Machine Learning | David Barber | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9780521518147 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.