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For a beginner, which is the best book to start with for studying Bayesian Networks?

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There is an online tutorial "A Brief Introduction to Graphical Models and Bayesian Networks" by Kevin Murphy. The best way to learn BN is to read this:

  1. Pattern classification by Duda/Hart/Stork
  2. Pattern Recognition and Machine Learning by Chris Bishop
  3. Neural Networks for Pattern Recognition by Chris Bishop
  5. Bayes Net Toolbox for Matlab.
Since, Bayes' Theorem is quite an essential part of Machine Learning, tech newbies are advised to pursue a Machine Learning Course from a reputed institute like Intellipaat.

Hope this answer helps you!

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