Machine Learning: Theory and Applications

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software, Business Software, General Computing
Cover of the book Machine Learning: Theory and Applications by C.R. Rao, Venu Govindaraju, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: C.R. Rao, Venu Govindaraju ISBN: 9780444538666
Publisher: Elsevier Science Publication: May 16, 2013
Imprint: North Holland Language: English
Author: C.R. Rao, Venu Govindaraju
ISBN: 9780444538666
Publisher: Elsevier Science
Publication: May 16, 2013
Imprint: North Holland
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Epigenetic Gene Expression and Regulation by C.R. Rao, Venu Govindaraju
Cover of the book Type 2 Diabetes and Dementia by C.R. Rao, Venu Govindaraju
Cover of the book Handbook of Immunohistochemistry and in situ Hybridization of Human Carcinomas by C.R. Rao, Venu Govindaraju
Cover of the book Molecular Biology by C.R. Rao, Venu Govindaraju
Cover of the book Bioactive Seaweeds for Food Applications by C.R. Rao, Venu Govindaraju
Cover of the book Fish Physiology: Hypoxia by C.R. Rao, Venu Govindaraju
Cover of the book Cross-Layer Resource Allocation in Wireless Communications by C.R. Rao, Venu Govindaraju
Cover of the book Tribology and Dynamics of Engine and Powertrain by C.R. Rao, Venu Govindaraju
Cover of the book Piping and Pipeline Calculations Manual by C.R. Rao, Venu Govindaraju
Cover of the book Table of Integrals, Series, and Products by C.R. Rao, Venu Govindaraju
Cover of the book Rabies by C.R. Rao, Venu Govindaraju
Cover of the book Additives for Plastics Handbook by C.R. Rao, Venu Govindaraju
Cover of the book Lean Biomanufacturing by C.R. Rao, Venu Govindaraju
Cover of the book Why Penguins Communicate by C.R. Rao, Venu Govindaraju
Cover of the book Lignin Chemistry and Applications by C.R. Rao, Venu Govindaraju
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy