Main Handbook of Statistics: Machine Learning: Theory and Applications Edition: 1

Handbook of Statistics: Machine Learning: Theory and Applications Edition: 1

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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. very relevant to current research challenges faced in various fields self-contained reference to machine learning emphasis on applications-oriented techniques
Request Code : ZLIB.IO18211120
Categories:
Year:
2022
Publisher:
North Holland
Language:
English
ISBN 10:
0444538593
ISBN 13:
9780444538598
ISBN:
9780444538598, 0444538593
Series:
Handbook of Statistics 31

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