convariance

Terms from Artificial Intelligence: humans at the heart of algorithms

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In statistics, covariance is a measure of how closely two variable match one another. For two series xi and yi, the covrainace is cacluated using the formula:
      cov(x,y) = ( Σ (xi - μx) × (yi - μy) ) / N.
Covariance is used in many contexst including in time-series analysis and the cacluations of a correlation matrix for dimension reduction of big daa.