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