Mathematics, Mathematics Education, Machine Learning, Data Science.
variables. If the two variables are independent, the covariance is zero. (22) The covariance matrix of X, where X is a random vector. X_1, X_2, …, X_D are features expressed as random variables. Notice that in (18) this matrix is transformed into a diagonal matrix, thus setting the non-diagonal