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OverviewThis 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. Full Product DetailsAuthor: Luca Oneto , Nicolò Navarin , Alessandro Sperduti , Davide AnguitaPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 2020 ed. Volume: 896 Weight: 0.454kg ISBN: 9783030438852ISBN 10: 3030438856 Pages: 221 Publication Date: 04 April 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |