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

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Summary

In this chapter, we got an overview of what machine learning is and what some of its high-level tasks are. We also discussed the importance of Bayesian inference in machine learning, particularly in the context of how it can help to avoid important issues, such as model overfit and how to select optimum models. In the coming chapters, we will learn some of the Bayesian machine learning methods in detail.

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