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Prepayment modeling is an established art form with a well-known functional form. Though the exact model varies from institution to institution, the basic structure of the model has not changed...

Machine Learning Predictive Analytics

Data is at the core of everything RiskSpan does—from model builds and validations to mining and visualization projects. Because all this work, to one degree or another, relies on data as its "raw...

Edge Platform Predictive Analytics

Machine learning represents the next frontier in model validation—particularly in the credit and prepayment modeling arena. Financial institutions employ numerous models to make predictions relating...

Machine Learning Model Validation Model and Data Governance Predictive Analytics

 

Machine Learning Credit Risk Modeling Predictive Analytics

 

Machine Learning Predictive Analytics

 

Machine Learning Predictive Analytics

 

Machine Learning Predictive Analytics

Model evaluation (including evaluating supervised and unsupervised learning models) is the process of objectively measuring how well machine learning models perform the specific tasks they were...

Machine Learning Predictive Analytics

Feature selection in machine learning refers to the process of isolating only those variables (or “features”) in a dataset that are pertinent to the analysis. Failure to do this effectively has many...

Machine Learning Predictive Analytics

Attribution analysis of portfolios typically aims to discover the impact that a portfolio manager’s investment choices and strategies had on overall profitability. They can help determine whether...

Machine Learning Market Risk Predictive Analytics
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