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Recent Trends in Learning From Data

Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)

Specificaties
Paperback, blz. | Engels
Springer International Publishing | 2021
ISBN13: 9783030438852
Rubricering
Springer International Publishing e druk, 2021 9783030438852
€ 168,99
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Samenvatting

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. 

Specificaties

ISBN13:9783030438852
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

Introduction: Recent Trends in Learning From Data.- Learned data structures.- Deep Randomized Neural Networks.- Tensor Decompositions and Practical Applications.- Deep learning for graphs.- Limitations of Shallow Networks.- Fairness in Machine Learning.- Online Continual Learning on Sequences.
€ 168,99
Levertijd ongeveer 9 werkdagen
Gratis verzonden

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        Recent Trends in Learning From Data