Panel: Getting your team off the ground - Investing in building teams to reduce bias and regression in your ML models
Dec 08, 2022
Next-Gen Applications Stage
- How to detect bias in models: Is it in your data or is the problem with the practitioners? Do you need a core differentiated team with diverse backgrounds?
- How do we tackle the challenge of inference and how do we measure the bias of your model and integrate that into the development of the ML model team?
- Where are areas for improvement? And why is the model performing better than your team’s intuition?