Probability Density Function
Probability Density Function (PDF) is a function that describes the relative likelihood for a random variable to take on a given value. In other words, it is a mathematical function that describes the probability of a continuous random variable within a particular range of values. The area under the curve of a PDF represents the probability of the random variable taking on a value within that range. PDF is used in various fields such as physics, engineering, finance, and machine learning to model and analyze continuous data. It is also used to estimate the parameters of a statistical model by fitting a PDF to observed data using techniques such as maximum likelihood estimation or Bayesian inference.
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