References

The following is a list of recommended books where you can learn more about the topics in this chapter.

  1. Ethem Alpaydin. Introduction to Machine Learning. The MIT Press. 2004.
  2. Peter D. Hoff. A First Course in Bayesian Statistical Methods. Springer, New York. 2009.
  3. James V Stone. Bayes' Rule: A Tutorial Introduction to Bayesian Analysis. Sebtel Press. 2013.
  4. Matt Sekerke. Bayesian risk management: a guide to model risk and sequential learning in financial markets. Wiley & Sons. 2015.
  5. Timothy J. Ross. Fuzzy logic with engineering applications, 3rd Edition. John Wiley & Sons. 2010.
  6. Hung T. Nguyen and Elbert A. Walker. A First Course in Fuzzy Logic, 3rd Edition. CRC Press. 2006.

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