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• Random Variation: Random variation refers to the natural variation that occurs in data due to chance. In data science, random variation is often encountered when analyzing data sets and can be a source of noise that can obscure underlying patterns or trends. ... Read More >>
• Conjugate Priors: In Bayesian probability theory, a prior distribution is a probability distribution that expresses the degree of belief or uncertainty about the value of a parameter before observing the data. A prior distribution is said to be conjugate for ... Read More >>
• Networks: In Data Science, Networks refer to a collection of nodes or vertices that are connected by edges or links. These nodes can represent various entities such as people, organizations, or machines, while the edges represent the relationships or ... Read More >>