Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Flach, Peter
ISBN 10: 1107422221 ISBN 13: 9781107422223
Editorial: Cambridge University Press, 2012
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N° de ref. del artículo 00089810438
Sinopsis:
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.
Acerca del autor: 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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Detalles bibliográficos
Título: Machine Learning: The Art and Science of ...
Editorial: Cambridge University Press
Año de publicación: 2012
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Machine Learning: The Art and Science of Algorithms that Make Sense of Data
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Cambridge University Press, 2012
ISBN 10: 1107422221
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Machine Learning: The Art and Science of Algorithms that Make Sense of Data
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Cambridge University Press, 2012
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ISBN 13: 9781107422223
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ISBN 13: 9781107422223
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Machine Learning: The Art and Science of Algorithms that Make Sense of Data
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Machine Learning
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Cambridge University Press, 2012
ISBN 10: 1107422221
ISBN 13: 9781107422223
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Cambridge University Press, 2012
ISBN 10: 1107422221
ISBN 13: 9781107422223
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