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Source: The Open Library

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1Information Theory, Inference & Learning Algorithms

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Book's cover

“Information Theory, Inference & Learning Algorithms” Metadata:

  • Title: ➤  Information Theory, Inference & Learning Algorithms
  • Author:
  • Languages: und - English
  • Number of Pages: Median: 640
  • Publisher: ➤  TBS - University of Cambridge ESOL Examinations - Cambridge University Press - CAMBRIDGE UNIV PRESS
  • Publish Date:
  • Publish Location: ➤  New York, USA - CAMBRIDGE - Cambridge, UK

“Information Theory, Inference & Learning Algorithms” Subjects and Themes:

Edition Identifiers:

First Setence:

"In this chapter we discuss how to measure the information content of the outcome of a random experiment."

Access and General Info:

  • First Year Published: 2003
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: Unclassified

Online Access

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The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.

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    2Maximum entropy and Bayesian methods, Cambridge, England, 1988

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    Book's cover

    “Maximum entropy and Bayesian methods, Cambridge, England, 1988” Metadata:

    • Title: ➤  Maximum entropy and Bayesian methods, Cambridge, England, 1988
    • Author: ➤  
    • Language: English
    • Number of Pages: Median: 525
    • Publisher: Kluwer Academic Publishers
    • Publish Date:
    • Publish Location: Boston - Dordrecht

    “Maximum entropy and Bayesian methods, Cambridge, England, 1988” Subjects and Themes:

    Edition Identifiers:

    Access and General Info:

    • First Year Published: 1989
    • Is Full Text Available: No
    • Is The Book Public: No
    • Access Status: No_ebook

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