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Saturday, July 25, 2020 | History

6 edition of Methods and Applications of Artificial Intelligence found in the catalog.

Methods and Applications of Artificial Intelligence

by Ioannis P. Vlahavas

  • 176 Want to read
  • 29 Currently reading

Published by SPRINGER-VERLAG .
Written in English

    Subjects:
  • Computers,
  • Medical / Nursing,
  • Computer Books: General,
  • Artificial Intelligence - General,
  • General,
  • Artificial Intelligence,
  • Congresses

  • Edition Notes

    Lecture Notes in Artificial Intelligence

    The Physical Object
    FormatPaperback
    Number of Pages528
    ID Numbers
    Open LibraryOL12775166M
    ISBN 103540434720
    ISBN 109783540434726

    Data Mining Methods and Applications PDF Download for free: Book Description: With today’s information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining [ ]. Characteristics of Artificial Intelligence: Artificial Intelligence (AI) is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence and applying them as algorithms in a computer-friendly : Daily Exams.

    Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's specifically, it is Weak AI, the form of AI where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis, electronic trading platforms, robot control, and remote sensing. Find many great new & used options and get the best deals for American Association for Artificial Intelligence: Biorobotics: Methods and Applications (, Paperback) at the best online prices at eBay! Free shipping for many products!

    This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. As a whole, Richard S. Sutton and Andrew G. Barto do an excellent job of covering both the conceptual foundations of reinforcement learning, as well as its latest developments and applications. Who would find this book most interesting: It’s an introductory book to a new field of Artificial Intelligence.


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