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Machine Learning

Machine Learning Theoretical Foundations and Practical Applications - Studies in Big Data

Paperback (21 Apr 2022)

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Publisher's Synopsis

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. 

Book information

ISBN: 9789813365209
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
DEWEY: 006.31
DEWEY edition: 23
Language: English
Number of pages: 172
Weight: 291g
Height: 235mm
Width: 155mm
Spine width: 10mm