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Learning Bayesian Models with R by Dr. Hari M. Koduvely

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Summary

In this chapter, we discussed the various merits of using Bayesian inference for the classification task. We reviewed some of the common performance metrics used for the classification task. We also learned two basic and popular methods for classification, Naïve Bayes and logistic regression, both implemented using the Bayesian approach. Having learned some important Bayesian-supervised machine learning techniques, in the next chapter, we will discuss some unsupervised Bayesian models.

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