Fraud & Risk
How Machine Learning Has Changed Fraud Detection Forever
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Using the informal format of a "fireside chat" this webinar features a conversation between three leaders at Ravelin on machine learning applications. After reviewing why machine learning is beneficial, the presenters talk in detail about how machine learning can be leveraged for fraud detection. A discussion of graph networks is next, followed by a comparison of machine learning and rules, and then the role human feedback plays in improving machine learning models. The panel also touches on other use cases for machine learning in online retailing, such as tackling abuse, as well as emerging machine learning applications like automated feature engineering. An extensive Q&A session rounds out the broadcast.
Slides from this webinar are available here.