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Sinopsis
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, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.
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Miroslav Kubat, Associate Professor at the University of Miami, has been teaching and studying machine learning for more than a quarter century. Over the years, he has published more than 100 peer-reviewed papers, co-edited two books, served on the program committees of some 60 program conferences and workshops, and is the member of the editorial boards of three scientific journals. He is widely credited for having co-pioneered research in two major branches of the discipline: induction of time-varying concepts and learning from imbalanced training sets. Apart from that, he contributed to induction from multi-label examples, induction of hierarchically organized classes, genetic algorithms, initialization of neural networks, and other problems.
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An Introduction to Machine Learning
Publicado por
Springer International Publishing Okt 2016, 2016
ISBN 10: 3319348868
ISBN 13: 9783319348865
Nuevo
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of 'boosting,' how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. 308 pp. Englisch. Nº de ref. del artículo: 9783319348865
Cantidad disponible: 2 disponibles
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An Introduction to Machine Learning
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319348868
ISBN 13: 9783319348865
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of 'boosting,' how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. Nº de ref. del artículo: 9783319348865
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An Introduction to Machine Learning
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An Introduction to Machine Learning
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319348868
ISBN 13: 9783319348865
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Supplies frequent opportunities to practice techniques at the end of each chapter with control questions, exercises, thought experiments, and computer assignmentsReinforces principles using well-selected toy domains and interesting real-world appl. Nº de ref. del artículo: 385703787
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An Introduction to Machine Learning
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PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9783319348865
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Introduction to Machine Learning
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An Introduction to Machine Learning
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Condición: New. pp. 304. Nº de ref. del artículo: 26378361246
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An Introduction to Machine Learning
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Springer International Publishing, Springer International Publishing Okt 2016, 2016
ISBN 10: 3319348868
ISBN 13: 9783319348865
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Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -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, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of ¿boosting,¿ how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. Nº de ref. del artículo: 9783319348865
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An Introduction to Machine Learning
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Condición: New. Print on Demand pp. 304. Nº de ref. del artículo: 385542721
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An Introduction to Machine Learning
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Springer-Verlag New York Inc, 2016
ISBN 10: 3319348868
ISBN 13: 9783319348865
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Paperback. Condición: Brand New. reprint edition. 304 pages. 9.25x6.10x0.94 inches. In Stock. Nº de ref. del artículo: x-3319348868
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