STAT 4800 Probability Theory
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The core construct of the STAT 4800 Probability Theory course is chance variable - i.e. variable whose values are determined by random experiment. Random variables are used as a model for knowledge generation processes we would like to review. Properties of the info are deeply joined to the corresponding properties of random variables, like the first moment, variance and correlations. Dependencies between random variables are a crucial issue that enables predicting unknown quantities supported by best-known values, which forms the premise of supervised machine learning. With the notion of freelance events and chance, then introduce two main categories of random variables: separate and continuous and study their properties. Finally, you will learn different kinds of knowledge and their reference to random variables.
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