Machine Learning: Theory and Applications : Volume 31 Hardback
Part of the Handbook of Statistics series
Hardback
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:552 pages
- Publisher:Elsevier Science & Technology
- Publication Date:17/05/2013
- Category:
- ISBN:9780444538598
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:552 pages
- Publisher:Elsevier Science & Technology
- Publication Date:17/05/2013
- Category:
- ISBN:9780444538598