Statistical Analysis of Complex Data: Dimensionality reduction and classification methods - Couverture souple

Fordellone, Mario

9786200443724: Statistical Analysis of Complex Data: Dimensionality reduction and classification methods

Couverture souple

ISBN 10 : 6200443726 ISBN 13 : 9786200443724

Editeur : LAP LAMBERT Academic Publishing, 2019

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Statistical learning (SL) is the study of the generalizable extraction of knowledge from data (Friedman et al. 2001). The concept of learning is used when human expertise does not exist, humans are unable to explain their expertise, solution changes in time, solution needs to be adapted to particular cases. The principal algorithms used in SL are classified in: supervised learning (e.g. regression and classification), unsupervised learning (e.g. association and clustering), semi-supervised, it combines both labeled and unlabeled examples to generate an appropriate function or classifier. Following this research idea, in this book we propose a good review on the more recent statistical models used to solve the dimensionality problem recently discussed.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2019
Langue: anglais
ISBN 10: 6200443726
ISBN 13: 9786200443724
Reliure: Broch�
Nombre de pages: 84
Coordonn�es du fabricant: non disponible
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Statistical Analysis of Complex Data

Mario Fordellone

Edit� par LAP LAMBERT Academic Publishing Okt 2019, 2019

ISBN 10 : 6200443726 ISBN 13 : 9786200443724

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical learning (SL) is the study of the generalizable extraction of knowledge from data (Friedman et al. 2001). The concept of learning is used when human expertise does not exist, humans are unable to explain their expertise, solution changes in time, solution needs to be adapted to particular cases. The principal algorithms used in SL are classified in: supervised learning (e.g. regression and classification), unsupervised learning (e.g. association and clustering), semi-supervised, it combines both labeled and unlabeled examples to generate an appropriate function or classifier. Following this research idea, in this book we propose a good review on the more recent statistical models used to solve the dimensionality problem recently discussed. 84 pp. Englisch. N� de r�f. du vendeur 9786200443724

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Statistical Analysis of Complex Data

Mario Fordellone

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 6200443726 ISBN 13 : 9786200443724

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fordellone MarioDr. Mario Fordellone is a teaching assistant at LUISS University of Rome and research fellow at La Sapienza. He has demonstrated skills in Statistics, Research, Mathematical Modeling, and Programming.Statistical l. N� de r�f. du vendeur 385891760

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Statistical Analysis of Complex Data

Mario Fordellone

Edit� par LAP LAMBERT Academic Publishing Okt 2019, 2019

ISBN 10 : 6200443726 ISBN 13 : 9786200443724

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Statistical learning (SL) is the study of the generalizable extraction of knowledge from data (Friedman et al. 2001). The concept of learning is used when human expertise does not exist, humans are unable to explain their expertise, solution changes in time, solution needs to be adapted to particular cases. The principal algorithms used in SL are classified in: supervised learning (e.g. regression and classification), unsupervised learning (e.g. association and clustering), semi-supervised, it combines both labeled and unlabeled examples to generate an appropriate function or classifier. Following this research idea, in this book we propose a good review on the more recent statistical models used to solve the dimensionality problem recently discussed.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 84 pp. Englisch. N� de r�f. du vendeur 9786200443724

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Statistical Analysis of Complex Data : Dimensionality reduction and classification methods

Mario Fordellone

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 6200443726 ISBN 13 : 9786200443724

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Statistical learning (SL) is the study of the generalizable extraction of knowledge from data (Friedman et al. 2001). The concept of learning is used when human expertise does not exist, humans are unable to explain their expertise, solution changes in time, solution needs to be adapted to particular cases. The principal algorithms used in SL are classified in: supervised learning (e.g. regression and classification), unsupervised learning (e.g. association and clustering), semi-supervised, it combines both labeled and unlabeled examples to generate an appropriate function or classifier. Following this research idea, in this book we propose a good review on the more recent statistical models used to solve the dimensionality problem recently discussed. N� de r�f. du vendeur 9786200443724

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