This GFMI conference will offer case studies on how financial firms can implement machine learning within business operations with upmost effectiveness. Solutions of how firms can increase explainability and interpretability in results of black-box algorithms within their models will be focused on.  

This conference will also investigate how machine learning can be used within ESG processes and the current most effective uses of natural language processing. Furthermore, the current regulatory environment will be examined and the best practices for implementation of alternative and synthetic data will be discussed and evaluated.  

Machine Learning In Quantitative Finance by
marcus evans

a marcusevans event

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Machine Learning In Quantitative Finance by marcus evans

a marcusevans event

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Event Anywhere

Machine Learning In Quantitative Finance by
marcus evans