June 2018
Intermediate to advanced
276 pages
6h 26m
English
Content preview from Mastering Machine Learning for Penetration Testing
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Summary
In previous chapters, we saw how to build anomaly detection systems from scratch by using different machine learning algorithms and Python libraries. This chapter included a step-by-step guide to help you build a fully functioning threat-hunting platform, using three amazing open source projects. We also implemented a machine learning plugin to optimize and enhance the threat-hunting platform's power. By now, you have learned how to build many defensive systems using the power of machine learning. The next chapter is a must-read if you want to learn how to bypass machine learning safeguards.
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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.