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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
  4. http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html
  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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