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9783030438821 - Recent Trends in Learning from Data: Tutorials from the Inns Big Data and Deep Learning Conference Innsbddl2019 : 896 Studies in Computational Intelligence, 896 (11 results)
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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
Seller rating 5 out of 5 stars
£ 127.60
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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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, 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.
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Hardcover. Condition: Brand New. 228 pages. 9.25x6.10x9.21 inches. In Stock.
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: new. Questo è un articolo print on demand.
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Recent Trends in Learning From Data
Book 397 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer International Publishing Apr 2020, 2020
ISBN 10: 3030438821 ISBN 13: 9783030438821
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 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, 2020
ISBN 10: 3030438821 ISBN 13: 9783030438821
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gathers tutorials from the 2019 INNS Big Data and Deep Learning ConferenceDescribes cutting-edge AI-based tools and applicationsOffers essential guidance on the design and analysis of advanced AI-.
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Recent Trends in Learning From Data
Book 397 of 538: Studies in Computational IntelligenceLanguage: English
Published by Springer, Palgrave Macmillan Apr 2020, 2020
ISBN 10: 3030438821 ISBN 13: 9783030438821
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.
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