The following is a list of recommended books where you can learn more about the topics in this chapter:
- Introduction to Machine Learning, Ethem Alpaydin, The MIT Press, 2004.
- A First Course in Bayesian Statistical Methods, Peter D. Hoff. Springer, New York, 2009.
- Bayes' Rule: A Tutorial Introduction to Bayesian Analysis, James V Stone. Sebte Press. 2013.
- Bayesian risk management: A guide to model risk and sequential learning in financial markets, Matt Sekerke. Wiley & Sons. 2015.
- Fuzzy logic with engineering applications, 3rd Edition, Timothy J. Ross, John Wiley & Sons. 2010.
- A First Course in Fuzzy Logic, 3rd Edition, Hung T. Nguyen and Elbert A. Walker, CRC Press. 2006.
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