Hacker News Reader

Good stuff, at high level it seems security engineering aspects might be missing.

I put together content around threat modeling, infrastructure attacks as well as ML specific attacks with practical examples (like using adversarial robustness toolbox from Linux foundation).

Details here: https://github.com/wunderwuzzi23/mlattacks

Something I have been looking for quite some time. Thank you for this.

Personally there are many ways to implement machine learning in production and this resource does a good job on giving you a detailed grand tour of all the fundamentals you need to think about. And to make the concepts more concrete, each unit has code implementation for an end-to-end project.

While some lessons can stand to be more well connected to the end-to-end project, the sheer amount of detail on some of the lessons simply don't exist anywhere else. The testing (https://madewithml.com/courses/mlops/testing/) and monitoring (https://madewithml.com/courses/mlops/monitoring/) lessons are clear examples of this.

That’s one way to self promote. Cool repo.