Anomaly detectors are a useful tool for any machine learning practitioner, whether for data cleaning, fraud detection, or as early-warning for concept drift. While there are many algorithms for detecting anomalies, there is a lack of publicly available anomaly detection benchmark datasets for comparing these techniques. This is what our Chief Scientist, Professor Tom Dietterich, […]![]()
