What are the applications of Bayesian filtering?
Bayesian filtering is widely used in various fields such as spam detection, robotics, and computer vision.
Can you explain how it works in spam detection?
In spam detection, Bayesian filtering calculates the probability that an email is spam based on the frequency of certain words.
What about its use in robotics?
In robotics, Bayesian filtering helps in estimating the position of a robot by combining sensor data with a model of the environment.
Are there any limitations to Bayesian filtering?
Yes, it can be computationally intensive and may require a large amount of data to be effective.
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