Introduction In the previous lessons and labs, you learned about some fundamentals of probability theory, along with basic combinatorics such as permutations and combinations. You'll now extend your ...

Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy set ...

In the previous lessons and labs, you learned about some fundamentals of probability theory, along with basic combinatorics such as permutations and combinations. You'll now extend your knowledge of ...

Abstract: Bayesian Network is a significant graphical model that is used to do probabilistic inference and reasoning under uncertainty circumstances. In many applications, existence of discrete and ...