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An Introduction to Machine Learning

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, lin...

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Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Kubat, Miroslav (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:	1st ed. 2015.
Temas:	Artificial intelligence. Computer simulation. Information storage and retrieval systems. Pattern recognition systems. Artificial Intelligence. Computer Modelling. Information Storage and Retrieval. Automated Pattern Recognition.
Acceso en línea:	Texto Completo

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