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.
- ISBN10 0444538666
- ISBN13 9780444538666
- Publish Date 14 May 2014 (first published 17 May 2013)
- Publish Status Active
- Publish Country NL
- Imprint North-Holland
- Format eBook
- Pages 551
- Language English