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Detalles bibliogr�ficos

T�tulo: Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Editor: Cambridge University Press
Fecha de publicaci�n: 2012
Idioma: Ingl�s
ISBN 10: 1107422221
ISBN 13: 9781107422223
Encuadernaci�n: paperback
Estado: Very Good

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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.

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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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