Last edited by Meztilabar
Wednesday, May 6, 2020 | History

10 edition of Mathematical methods in artificial intelligence found in the catalog.

Mathematical methods in artificial intelligence

by Edward A. Bender

  • 147 Want to read
  • 35 Currently reading

Published by IEEE Computer Society Press in Los Alamitos, Calif .
Written in English

    Subjects:
  • Artificial intelligence -- Mathematics,
  • Expert systems (Computer science)

  • Edition Notes

    Includes bibliographical references and indexes.

    StatementEdward A. Bender.
    Classifications
    LC ClassificationsQ335 .B45 1996
    The Physical Object
    Paginationxx, 636 p. :
    Number of Pages636
    ID Numbers
    Open LibraryOL792157M
    ISBN 100818672005
    LC Control Number95024708

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    The course covers three main mathematical theories: Linear Algebra, Multivariate Calculus and Probability Theory. Linear Algebra – Linear algebra notation is used in Machine Learning to describe /5().   Whether or not the universe is inherently mathematical, humans are advancing toward unlocking the mysteries of physics, consciousness, artificial intelligence, neuroscience, and life itself.

      artificial intelligence, book review, linear algebra, #artificialintelligence Genre: Book The authors discuss a number of selected results and methods of discrete mathematics, mostly from .   Strang's Linear Algebra is very intuitive and geometrical. Casella and Berger's Statistical Inference and Ross's Probability Models should give you a good overview of statistics and probability .


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