Webinar

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?
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  • 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
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  • Tips and tricks to using machine learning
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  • Key concepts and concerns to bring back to your team