Handbook of Statistics: Machine Learning: Theory and Applications

Handbook of Statistics Machine Learning Theory and Applications 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 ph

  • Title: Handbook of Statistics: Machine Learning: Theory and Applications
  • Author: C. Radhakrishna Rao
  • ISBN: 9780444538598
  • Page: 349
  • Format: Hardcover
  • 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 impacStatistical 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 securityry relevant to current research challenges faced in various fieldsself contained reference to machine learningemphasis on applications oriented techniques

    One thought on “Handbook of Statistics: Machine Learning: Theory and Applications”

    Leave a Reply

    Your email address will not be published. Required fields are marked *