Explainable Machine Learning for Probability of Default Calculations
How the FICO Platform can enable explainable machine learning models for more effective PD calculations
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Peter Ould
Peter Ould was at Principal Consultant at FICO.
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How Transaction Analytics Transform Lending Speed and Results
Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending
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Improving IRB and RWA Calculations with Machine Learning
Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.
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Does the EU Framework for Responsible AI Go Far Enough?
Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability
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How to Rate Trade Credit Risk – Without Much Data
Allowing people or businesses to pay for things on credit is an ancient practice, and just as ancient is the dilemma: How can you tell if they will pay you back? We know how this w…
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