An Introduction to Machine Learning - Brossura
- EditoreSpringer
- Data di pubblicazione2018
- ISBN 10 3319876694
- ISBN 13 9783319876696
- RilegaturaCopertina flessibile
- Numero di pagine364
- Valutazione libreria
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An Introduction to Machine Learning
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Springer International Publishing Aug 2018
(2018)
ISBN 10: 3319876694
ISBN 13: 9783319876696
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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant 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. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work. 364 pp. Englisch. Codice articolo 9783319876696
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An Introduction to Machine Learning
Editore:
Springer International Publishing
(2018)
ISBN 10: 3319876694
ISBN 13: 9783319876696
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Taschenbuch
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Valutazione libreria
Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant 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. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work. Codice articolo 9783319876696
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An Introduction to Machine Learning
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Descrizione libro Condizione: New. Book is in NEW condition. 1.14. Codice articolo 3319876694-2-1
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An Introduction to Machine Learning
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Springer International Publishing
(2018)
ISBN 10: 3319876694
ISBN 13: 9783319876696
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Descrizione libro Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Miroslav Kubat, Associate Professor at the University of Miami, has been teaching and studying machine learning for over 25 years. He has published more than 100 peer-reviewed papers, co-edited two books, served on the program committees of over 60 confe. Codice articolo 448760880
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Descrizione libro Paperback. Condizione: Brand New. 2nd reprint edition. 348 pages. 9.25x6.10x0.71 inches. In Stock. Codice articolo 3319876694
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Descrizione libro Paperback. Condizione: New. New. book. Codice articolo D8F0-0-M-3319876694-6
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