August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Variance, covariance, and the covariance matrix
To understand the concepts of Eigenvectors and Eigenvalues, we must first recall some mathematical definitions as follows:
- Variance: This measures the degree of dispersion existing within the data and is represented by the average of the deviations of the data with respect to their average, as follows:
- Covariance: This measures the degree of linear correlation between two variables; it is represented mathematically as follows:
- Covariance matrix: This is the matrix that contains the covariances ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.