Chapter 7. Specialized Models
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
The Naive Bayes model
The Naive Bayes model is one of the most efficient and effective learning algorithms, particularly in the field of text classification. Although over-simplistic, this model has worked out quite well. In this section, we are going to discuss the following topics:
- What is a Naive Bayes model?
- Why does it even work?
- Types of Naive Bayes models ...
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