October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How it works...
In this recipe, we have demonstrated how to apply correlation and covariance to discover the relationship between multiple variables.
First, we compute a covariance matrix of the first three mtcars variables. Covariance can measure how variables are linearly related. Thus, a positive covariance (for example, cyl versus mpg) indicates that the two variables are positively linearly related. On the other hand, a negative covariance (for example, mpg versus disp) indicates the two variables are negatively linearly related. However, due to the variance of different datasets, the covariance scores of these datasets are not comparable. As a result, if you would like to compare the strength of the linear relation between two variables ...
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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.