debugging-ml-talk

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:

• [x] Document notebook
• [x] Re-upload notebook with cell outputs
• [ ] Post slides on the internet in a better place