Skip to content

Opening book details…

Can I read Handbook of Statistics: Machine Learning: Theory and Applications on EtoBox?

Handbook of Statistics: Machine Learning: Theory and Applications by C.R. Rao and Venu Govindaraju (Eds.) is a nonfiction available to read on EtoBox.

What is Handbook of Statistics: Machine Learning: Theory and Applications about?

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

Who reads Handbook of Statistics: Machine Learning: Theory and Applications?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
C.R. Rao and Venu Govindaraju (Eds.)
Publisher
Elsevier, North Holland
Published
2013
Language
EN
ISBN
9780444538598
Category
nonfiction
Subjects
Computer Science, Business, Mathematics

Other editions & translations

More by C.R. Rao and Venu Govindaraju (Eds.)

Browse all works by C.R. Rao and Venu Govindaraju (Eds.)

Similar books