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Machine learning: principles and techniques

Contributor(s): Material type: TextTextSeries: Chapman and Hall Computing SeriesPublication details: London New York Chapman and Hall 1989Description: xv, 255 pISBN:
  • 0412305704
  • 041230580
Subject(s): DDC classification:
  • 006.31 M2
Summary: Presents results of research into computer systems that can improve their own performance. For undergraduates, graduates, and professionals intending to write or use such systems. The various perspectives of over a dozen contributors are abstracted into the unifying principle: generate + test, which makes possible a provisional taxonomy of machine learning algorithms. The sections cover a background to induction, biologically inspired systems, automated discovery, and long-term perspectives.
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 4-A / Slot 107 (0 Floor, West Wing) General Stacks 006.31 M2 (Browse shelf(Opens below)) Available 186640

Presents results of research into computer systems that can improve their own performance. For undergraduates, graduates, and professionals intending to write or use such systems. The various perspectives of over a dozen contributors are abstracted into the unifying principle: generate + test, which makes possible a provisional taxonomy of machine learning algorithms. The sections cover a background to induction, biologically inspired systems, automated discovery, and long-term perspectives.

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