Practical Tips for more Robust Real-time ML models

WIP Alert This is a work in progress. Current information is correct but more content may be added in the future. Feature vectors used during real-time ML scoring may break for some reasons: Normal model degradation (as time goes by) Operational problems (upstream feature sources break, services time-out, etc) Adversarial attacks There are many ways to make an ML model more robust in such a…