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Ajouter au panierHardcover. Etat : Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Langue: anglais
Edité par Springer International Publishing AG, Cham, 2024
ISBN 10 : 3031544676 ISBN 13 : 9783031544675
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Ajouter au panierPaperback. Etat : new. Paperback. This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: Avoiding drowning in the data: recent trends and future challenges in learning from data. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance. This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days.
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Langue: anglais
Edité par Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024
ISBN 10 : 3031544676 ISBN 13 : 9783031544675
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: ¿Avoiding drowning in the data: recent trends and future challenges in learning from datä. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.
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Ajouter au panierTaschenbuch. Etat : Neu. Recent Trends and Future Challenges in Learning from Data | Cristina Davino (u. a.) | Taschenbuch | x | Englisch | 2024 | Springer | EAN 9783031544675 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierPaperback. Etat : Brand New. 163 pages. 9.25x6.10x9.21 inches. In Stock.
Langue: anglais
Edité par Springer, Springer International Publishing Aug 2024, 2024
ISBN 10 : 3031544676 ISBN 13 : 9783031544675
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: 'Avoiding drowning in the data: recent trends and future challenges in learning from data'. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.
Langue: anglais
Edité par Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024
ISBN 10 : 3031544676 ISBN 13 : 9783031544675
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 139,09
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: ¿Avoiding drowning in the data: recent trends and future challenges in learning from datä. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
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Ajouter au panierTaschenbuch. Etat : Neu. Recent Trends in Learning From Data | Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) | Luca Oneto (u. a.) | Taschenbuch | vii | Englisch | 2021 | Springer | EAN 9783030438852 | 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 International Publishing, Springer International Publishing Apr 2021, 2021
ISBN 10 : 3030438856 ISBN 13 : 9783030438852
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 149,79
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing, Springer International Publishing Apr 2020, 2020
ISBN 10 : 3030438821 ISBN 13 : 9783030438821
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierBuch. Etat : Neu. Neuware -This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing, 2021
ISBN 10 : 3030438856 ISBN 13 : 9783030438852
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 149,79
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.
Langue: anglais
Edité par Springer International Publishing, 2020
ISBN 10 : 3030438821 ISBN 13 : 9783030438821
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 149,79
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.