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Certainly, a feature of statistical theory and learning in the 20 years of Matrix 1999 2019 shirt normal distribution of many variables. Whose density functions include the determinant of its covariance matrix. A particularly common example of machine learning is Gaussian processes. Which are often used as priests for regression problems in non-quantitative Bayes methods, among other things. This link provides an intuitive visual understanding that I find quite useful for explaining them.
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