The Gaussian function, also known as the normal distribution, is a fundamental concept in statistics and probability theory. It is derived from the Central Limit Theorem, which states that the sum of many independent random variables tends toward a normal distribution, regardless of the original distribution of the variables. Applications of the Gaussian function span various fields, including statistics, physics, and machine learning, where it is used to model real-valued random variables with unknown distributions.
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