课程: Probability Foundations for Data Science

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Bayesian applications

Bayesian applications

课程: Probability Foundations for Data Science

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Bayesian applications

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- [Narrator] In this video, I will dive into a variety of real world applications for using Bayesian methods. Bayesian principles have a wide range of applications across various industries, due to its flexibility in incorporating prior information and updating beliefs when new data is discovered. Let's begin by exploring how they are prevalent in machine learning. Bayesian methods are heavily used in many modern day machine learning algorithms, such as classification and regression. For example, the Naive Bayes Classifier algorithm provides a simple classifier that works great for tasks, such as spam detection or classifying text. There are also Bayesian networks that model probabilistic relationships and are great for tasks, such as natural language processing. In healthcare, Bayesian methods can help update the probability a patient will have a particular disease by taking in more information such as symptoms, test results, and family history. It can also be used to model and…

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