How Machine Learning Has Changed Fraud Detection Forever

This presentation outlines the topics covered during an informal "fireside chat" discussion between three leaders at Ravelin on machine learning applications. Subjects include why machine learning is beneficial, how machine learning can be leveraged for fraud detection, and graph networks, along with a comparison of machine learning and rules, and the role human feedback plays in improving machine learning models. The panel also highlighted other use cases for machine learning in online retailing, as well as emerging machine learning applications like automatic feature engineering.

Note that this presentation is also available as a webinar. To view the webinar, click here.