Fraud and interpretability of Machine Learning models – part 1

Interpretability: the missing link in Machine Learning adoption for fraud detection Machine learning methods are increasingly used, especially in anti-fraud products (developed by Bleckwen and other vendors) to capture weak signals and spot patterns in data that humans would otherwise miss. If the relevance of these methods for fraud detection is widely recognized, they are still mistrusted … Continue reading Fraud and interpretability of Machine Learning models – part 1