How To Build Transparent Machine Learning Credit Models

Lenders looking to switch to machine learning (ML) from the old ways of doing underwriting often bump up against some tough questions:
  • These ML models are incredibly powerful but incredibly complex. How do I know why I’m getting the results I’m getting?
  • And how do I meet the FCRA and ECOA requirements in a machine learning era?
In this on-demand webinar, we address these concerns by discussing:
  • Four ways Zest Automated Machine Learning (ZAML) covers your regulatory requirements
  • Tips and tricks to using machine learning
  • Key concepts and concerns to bring back to your team