Téléchargez le livre : Machine Learning: Theoretical Foundations and Practical Applications

Machine Learning: Theoretical Foundations and Practical Applications

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2021-04-19

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Description

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. 
Pages
172 pages
Collection
Studies in Big Data
Parution
2021-04-19
Marque
Springer
EAN papier
9789813365179
EAN PDF
9789813365186
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
6758 Ko
Prix
158,24 €
EAN EPUB
9789813365186
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
22477 Ko
Prix
158,24 €

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