Machine Learning: Theoretical Foundations and Practical Applications
2021 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Studies in Big Data
ISBN-10
981336517X
ISBN-13
9789813365179
Edition
2021 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 20th, 2021
Print length
172 Pages
Product Classification:
Communications engineering / telecommunicationsMachine learning
Ksh 25,200.00
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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.
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