Security & Machine Learning — Part 3

Optimizing the model for better results and turning corners

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I’ve been writing about how we held a series of meetups on machine learning at the Seattle AWS Architects & Engineers Meetup. In this three-part series, I first went over some machine learning concepts. In the second post, I wrote more specifically about getting started with AWS DeepRacer, the AWS autonomous model car that lets you test and learn about ML.

I thought that would be my final post on the topic. My objective was not to become an expert in machine learning as I am fully aware that people dedicate their lives to this subject who have far superior knowledge than me. However, I wanted to know enough to understand its place in the cybersecurity landscape to make effective decisions about its use.

I planned to use any simple model and get the car around the track and submit it to our meetup league. However, there was one slight problem. I was not about to go super slow. As I told my co-hosts…