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?

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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