What is Bayes' Theorem and how is it used?
Bayes' Theorem is a mathematical formula used to update the probability of a hypothesis based on new evidence. It's widely used in statistics, finance, and machine learning.
Can you give me a simple example of how it works?
Sure! Imagine you have a bag with 3 red balls and 2 blue balls. If you randomly pick a ball and it's red, Bayes' Theorem can help you update the probability of picking a red ball next time based on this new information.
What are some real-world applications of Bayes' Theorem?
Bayes' Theorem is used in various fields such as medical diagnosis, spam filtering in emails, and even in predicting weather patterns.
How does it differ from classical probability?
Unlike classical probability, which assumes all outcomes are equally likely, Bayes' Theorem allows for updating probabilities as new data becomes available, making it more dynamic.
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