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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: As New. Unread book in perfect condition.
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Recent Trends and Future Challenges in Learning from Data (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Paperback. Condition: 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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Recent Trends in Computational Sciences : Proceedings of the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology Aicdmb 2023, Mysuru, India, 16-17 March 2023
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Recent Trends in Computational Sciences : Proceedings of the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology Aicdmb 2023, Mysuru, India, 16-17 March 2023
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Recent Trends and Future Challenges in Learning from Data (Studies in Classification, Data Analysis, and Knowledge Organization)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 114.30
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Recent Trends in Computational Sciences: Proceedings of the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023), Mysuru, India, 16-17 March 2023
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032426853 ISBN 13: 9781032426853
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 830.
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Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) (Studies in Computational Intelligence)
Book 397 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 124.30
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Recent Trends in Learning From Data (Studies in Computational Intelligence, 896)
Book 397 of 538: Studies in Computational IntelligenceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 124.30
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Recent Trends and Future Challenges in Learning from Data
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Taschenbuch. Condition: 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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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: 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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Paperback. Condition: Brand New. 163 pages. 9.25x6.10x9.21 inches. In Stock.
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Recent Trends and Future Challenges in Learning from Data
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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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Recent Trends and Future Challenges in Learning from Data
Language: English
Published by Springer Nature Switzerland, Springer International Publishing Aug 2024, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Hardcover. Condition: Brand New. 300 pages. 9.69x6.88x1.02 inches. In Stock.
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Recent Trends in Learning From Data
Book 397 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, Springer International Publishing Apr 2021, 2021
ISBN 10: 3030438856 ISBN 13: 9783030438852
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Recent Trends in Learning From Data
Book 397 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, Springer International Publishing Apr 2020, 2020
ISBN 10: 3030438821 ISBN 13: 9783030438821
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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.
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Recent Trends in Learning From Data : Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)
Book 397 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030438856 ISBN 13: 9783030438852
Taschenbuch. Condition: 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.
-
Recent Trends in Learning From Data : Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)
Book 397 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing, 2020
ISBN 10: 3030438821 ISBN 13: 9783030438821
Buch. Condition: 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.
-
Recent Trends and Future Challenges in Learning from Data (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Paperback. Condition: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
