In the previous chapters, we discussed the generic cases of models. Now we have a good understanding of these models. In this chapter, we will discuss some of the special cases of Bayesian and Markov networks that are extensively used in real-life problems.
In this chapter, we will be discussing:
The Naive Bayes model
Dynamic Bayesian networks
The Hidden Markov model