"Probabilistic Graphical Models" Book: Free Download

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Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible.

Book Informations

  • Authors: Daphne Koller, Nir Friedman
  • Format: PDF
  • Pages: 1233
  • File: 9.1 MB


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Keywords:  Probabilistic Graphical Models Book Free Download, free download, cfp

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