Machine Learning: Theory and Applications

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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 p...
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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 p...
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  • Formats: pdf
  • ISBN: 9780444538666
  • Publication Date: 16 May 2013
  • Publisher: Elsevier Science
  • Product language: English
  • Drm Setting: DRM