Bayesian Reasoning and Machine Learning Hardback

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9780521518147: Bayesian Reasoning and Machine Learning Hardback

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.

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Críticas:

'This book is an exciting addition to the literature on machine learning and graphical models. What makes it unique and interesting is that it provides a unified treatment of machine learning and related fields through graphical models, a framework of growing importance and popularity. Another feature of this book lies in its smooth transition from traditional artificial intelligence to modern machine learning. The book is well-written and truly pleasant to read. I believe that it will appeal to students and researchers with or without a solid mathematical background.' Zheng-Hua Tan, Aalborg University, Denmark

'With approachable text, examples, exercises, guidelines for teachers, a MATLAB toolbox and an accompanying website, Bayesian Reasoning and Machine Learning by David Barber provides everything needed for your machine learning course. Only students not included.' Jaakko Hollmén, Aalto University

'The chapters on graphical models form one of the clearest and most concise presentations I have seen … The exposition throughout uses numerous diagrams and examples, and the book comes with an extensive software toolbox - these will be immensely helpful for students and educators. It's also a great resource for self-study.' Arindam Banerjee, University of Minnesota

'I repeatedly get unsolicited comments from my students that the contents of this book have been very valuable in developing their understanding of machine learning … My students praise this book because it is both coherent and practical, and because it makes fewer assumptions regarding the reader's statistical knowledge and confidence than many books in the field.' Amos Storkey, University of Edinburgh

Biografía del autor:

David Barber is Reader in Information Processing in the Department of Computer Science, University College London.

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David Barber
Editorial: Cambridge University Press 2012-02-02, Cambridge (2012)
ISBN 10: 0521518148 ISBN 13: 9780521518147
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Descripción Cambridge University Press 2012-02-02, Cambridge, 2012. hardback. Estado de conservación: New. Nº de ref. de la librería 9780521518147

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David Barber
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2012)
ISBN 10: 0521518148 ISBN 13: 9780521518147
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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2012. Hardback. Estado de conservación: New. 249 x 190 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780521518147

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David Barber
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2012)
ISBN 10: 0521518148 ISBN 13: 9780521518147
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The Book Depository US
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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2012. Hardback. Estado de conservación: New. 249 x 190 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780521518147

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Descripción Estado de conservación: New. Bookseller Inventory # ST0521518148. Nº de ref. de la librería ST0521518148

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Barber, David
Editorial: Cambridge University Press (2012)
ISBN 10: 0521518148 ISBN 13: 9780521518147
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Descripción Cambridge University Press, 2012. Estado de conservación: New. 2012. 1st Edition. Hardcover. A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus. Num Pages: 720 pages, 287 b/w illus. 1 table 260 exercises. BIC Classification: PBT; UYQM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 247 x 195 x 38. Weight in Grams: 1698. 728 pages, 287 b/w illus. 1 table 260 exercises. A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PBT; UYQM. Dimension: 247 x 195 x 38. Weight: 1730. . . . . . . Nº de ref. de la librería V9780521518147

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David Barber
Editorial: Cambridge University Press (2012)
ISBN 10: 0521518148 ISBN 13: 9780521518147
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Descripción Cambridge University Press, 2012. Estado de conservación: New. book. Nº de ref. de la librería ria9780521518147_rkm

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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97805215181470000000

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Descripción Estado de conservación: New. Bookseller Inventory # ST0521518148. Nº de ref. de la librería ST0521518148

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Descripción Cambridge University Press. Estado de conservación: New. 2012. 1st Edition. Hardcover. A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus. Num Pages: 720 pages, 287 b/w illus. 1 table 260 exercises. BIC Classification: PBT; UYQM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 247 x 195 x 38. Weight in Grams: 1698. 728 pages, 287 b/w illus. 1 table 260 exercises. A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PBT; UYQM. Dimension: 247 x 195 x 38. Weight: 1730. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780521518147

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Descripción Cambridge University Press, 2012. Estado de conservación: New. Nº de ref. de la librería L9780521518147

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