Security & Machine Learning — Part 2

Applying ML to autonomous cars and security problems

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Part one of this blog series on Security & Machine Learning introduced some machine learning terminology. Those terms help you get an idea of machine learning concepts that are applied to datasets to try to predict outcomes.

Many security products offer to solve all your security problems with machine learning, so I wanted to write about my thoughts after speed-reading (maybe a bit of scanning) the end of the book I mentioned: Machine Learning & Security: Protecting Systems with Data and Algorithms. As with any technology, apply it to the correct problems with the proper amount of resources to be effective. We’ll want to avoid choosing technology for technology’s sake.

As I mentioned in the last post, I started getting into all of this because we were hosting a series of meetups at Seattle AWS Architects & Engineers, where we will virtually race AWS DeepRacers. If you are reading this before Monday, October 5th…