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Machine Learning

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Machine Learning Synopsis

Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines.

The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security.

About This Edition

ISBN: 9780444538598
Publication date:
Author: Venugopal Govindaraju, C Radhakrishna Rao
Publisher: North Holland an imprint of Elsevier Science
Format: Hardback
Pagination: 552 pages
Series: Handbook of Statistics
Genres: Enterprise software
Expert systems / knowledge-based systems
Probability and statistics
Artificial intelligence

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