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Recent Trends in Learning From Data

Recent Trends in Learning From Data

 

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Editorial:
Springer Nature B.V.
Año de edición:
2020
Materia
Inteligencia artificial
ISBN:
9783030438821

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  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
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  • Librería Kolima (Madrid)
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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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