February 2018
Intermediate to advanced
396 pages
9h 38m
English
Content preview from Advanced Infrastructure Penetration Testing
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Unsupervised learning
Unsupervised learning is useful in cases where you only have input data (X) and no corresponding output variables. An example of an unsupervised learning algorithm is clustering, which is the task of grouping a set of objects such that the objects in the same group (cluster) are more similar to each other than to those in other groups, as shown here:
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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.