Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019): 896 - Brossura

Brossura

ISBN 10: 3030438856 ISBN 13: 9783030438852

Casa editrice: Springer, 2021

Riassunto

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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Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030438856
• ISBN 13: 9783030438852
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 232
• Redattore: Oneto Luca, Navarin Nicolò, Sperduti Alessandro, Anguita Davide
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com