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9781107096394: Machine Learning Hardback: The Art and Science of Algorithms that Make Sense of Data

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ISBN 10: 1107096391 ISBN 13: 9781107096394

Editorial: Cambridge University Press, 2012

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Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.

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Peter Flach has more than twenty years of experience in machine learning teaching and research. He is Editor-in-Chief of Machine Learning and Program Co-Chair of the 2009 ACM Conference on Knowledge Discovery and Data Mining and the 2012 European Conference on Machine Learning and Data Mining. His research spans all aspects of machine learning, from knowledge representation and the use of logic to learn from highly structured data to the analysis and evaluation of machine learning models and methods to large-scale data mining. He is particularly known for his innovative use of Receiver Operating Characteristic (ROC) analysis for understanding and improving machine learning methods. These innovations have proved their effectiveness in a number of invited talks and tutorials and now form the backbone of this book.

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EditorialCambridge University Press
A�o de publicaci�n2012
ISBN 10 1107096391
ISBN 13 9781107096394
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IdiomaIngl�s
N�mero de p�ginas409
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9781107422223: Machine Learning: The Art and Science of Algorithms that Make Sense of Data

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Machine Learning

Peter Flach

Publicado por Cambridge University Press, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Condici�n: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N� de ref. del art�culo: ABNR-2178

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Flach, Peter

Publicado por Cambridge University Press, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Flach, Peter

Publicado por Cambridge University Press, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Machine Learning

Flach, Peter

Publicado por Cambridge University Press, 2018

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to. N� de ref. del art�culo: 447215727

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Machine Learning (Hardcover)

Peter Flach

Publicado por Cambridge University Press, Cambridge, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Hardcover. Condici�n: new. Hardcover. As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook. Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de ref. del art�culo: 9781107096394

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Peter Flach

Publicado por Cambridge University Press, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Hardcover. Condici�n: Brand New. 1st edition. 410 pages. 9.69x0.94x7.48 inches. In Stock. This item is printed on demand. N� de ref. del art�culo: __1107096391

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Peter Flach

Publicado por Cambridge University Press, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Hardback. Condici�n: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1070. N� de ref. del art�culo: C9781107096394

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Flach, Peter

Publicado por Cambridge University Press, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Machine Learning (Hardcover)

Peter Flach

Publicado por Cambridge University Press, Cambridge, 2012

ISBN 10: 1107096391 ISBN 13: 9781107096394

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Librería: CitiRetail, Stevenage, Reino Unido

Calificaci�n del vendedor: 5 de 5 estrellas

Hardcover. Condici�n: new. Hardcover. As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook. Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de ref. del art�culo: 9781107096394

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