Machine Learning: Theoretical Foundations and Practical Applications

Machine Learning: Theoretical Foundations and Practical Applications

  • Manjusha Pandey
  • Siddharth Swarup Rautaray
Publisher:Springer NatureISBN 13: 9789813365186ISBN 10: 9813365188

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Machine Learning: Theoretical Foundations and Practical Applications is written by Manjusha Pandey and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 9813365188 (ISBN 10) and 9789813365186 (ISBN 13).

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.