Probability Density Function and statistics #probabilitydensityfunction #deeplearning

A probability density function (PDF) describes the probability of a random variable taking some specific value, with the area under the curve (AUC, which can be calculated using an integral) representing the probability of the variable falling within a specific range.

The expectation (expected value) is the mean of a random variable, representing the average value of a distribution.

A Joint distribution captures the probability of two or more random variables occurring at the same time, letting us analyze the relationship between them.

C:deepia

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