Recent Trends in Learning From Data - Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 896
Release date:	April 2020
First published:	2020
Editors:	Luca Oneto • Nicolo Navarin • Alessandro Sperduti • Davide Anguita
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	221
Edition:	1st ed. 2020
ISBN-13:	978-3-03-043882-1
Categories:	Books > Professional & Technical > Technology: general issues > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-043882-1
Barcode:	9783030438821

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