This repo contains (or will contain) the code and slides corresponding to my "Debugging ML in Production" talks. They change a lot over time. The most up-to-date slides are at current.pdf.
I am giving / will give different versions of this talk at:
- NLP Zurich Meetup
- UCSD's DSC 102: Systems for Scalable Analytics course taught by Arun Kumar
- Stanford's MLSys seminar
- Verta MLOps Monitoring Salon
- Databricks Data + AI Summit
- Toronto MLOps World Conference
- UC Berkeley RISECamp
- Facebook Data Observability Summit
- Toronto Machine Learning Society Annual Conference
- Google DevFest 2021
TODO:
- Document notebook
- Re-upload notebook with cell outputs
- Post slides on the internet in a better place