Improving transparency in ML models for market abuse detection
We recently covered an article on Using AI for Market Abuse Surveillance, a very interesting use of Machine Learning (ML) to improve the classification of alarms generated in market surveliance. One of the issues with ML is the lack of transparency, due to the “black-box” nature of the models. So you get an answer, but […]