Machine Learning: Theoretical Foundations and Practical Applications

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Détails du livre

Titre : Machine Learning: Theoretical Foundations and Practical Applications
Pages : 172
Collection : Studies in Big Data
Parution : 2021-04-19
Éditeur : Springer
EAN papier : 9789813365179
À propos du livre


This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms. 

Format EPUB - Nb pages copiables : 1 - Nb pages imprimables : 17 - Poids : 22477 Ko - - Prix : 158,24 € - EAN : 9789813365186

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