December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Spam detection
We will now deal with a hands-on exercise of separating spam emails a set of non-spam, or ham, emails. Unlike manual spam detectors, where users mark email as spam upon manual verification, this method uses machine learning to distinguish between spam and ham emails. The stages of detection can be illustrated as follows:
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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.