References
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.