Easy to follow introduction to eigenvectors and their relationship to matrices. For the most part, this is a plain English tutorial that continues with covariance, principal component analysis, and information entropy.
A brilliant resource from Deep Learning for Java and well worth bookmarking. I so wish this was around when I was doing my Mining Massive Datasets course.
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