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Ajouter au panierTaschenbuch. Etat : Neu. Recent Developments in Machine Learning and Data Analytics | IC3 2018 | Jugal Kalita (u. a.) | Taschenbuch | xiv | Englisch | 2018 | Springer | EAN 9789811312793 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore Sep 2018, 2018
ISBN 10 : 9811312796 ISBN 13 : 9789811312793
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 544 pp. Englisch.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10 : 9811312796 ISBN 13 : 9789811312793
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.
Langue: anglais
Edité par Springer-Verlag New York Inc, 2018
ISBN 10 : 9811312796 ISBN 13 : 9789811312793
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Ajouter au panierPaperback. Etat : Brand New. 544 pages. 9.25x6.10x1.18 inches. In Stock.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer Nature Singapore Sep 2018, 2018
ISBN 10 : 9811312796 ISBN 13 : 9789811312793
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques. 544 pp. Englisch.
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the areas/topics from machine learning, soft computing and data analyticsPresents contributions of lasting value to any area of computer scienceIncludes the most significant work on data-centric computation and machine learnin.