Mutual Information
Mutual Information is a measure of the mutual dependence between two variables. In data science, it is used to determine the relationship between two variables by measuring the amount of information that one variable provides about the other. It is a non-parametric method that can be used to identify the strength of the relationship between two variables, regardless of their distribution. Mutual Information is widely used in feature selection, where it helps to identify the most relevant features for a given problem. It is also used in clustering, classification, and regression tasks. In Artificial Intelligence, Mutual Information is used in the field of Natural Language Processing (NLP) to measure the similarity between two texts or documents. It is also used in image processing to measure the similarity between two images.
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