Non-Fiction Books:

Machine Learning: Theory and Applications

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Hardback
$737.00
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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.

Author Biography:

C. R. Rao, born in India is one of this century's foremost statisticians, received his education in statistics at the Indian Statistical Institute (ISI), Calcutta. Rao is currently at Penn State as Eberly Professor of Statistics and Director of the Center for Multivariate Analysis. His research has influenced not only statistics, but also the physical, social and natural sciences and engineering.
Release date NZ
May 17th, 2013
Audience
  • Professional & Vocational
Contributors
  • Volume editor C. R. Rao
  • Volume editor Venu Govindaraju
Pages
552
Dimensions
152x229x30
ISBN-13
9780444538598
Product ID
21035637

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