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  1. Anomaly Detection
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Anomaly Detection: Algorithms, Explanations, Applications
1:26:56
YouTubeMicrosoft Research
Anomaly Detection: Algorithms, Explanations, Applications
Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly "alarms" to a data analyst, and (d) interactively re-ranking candidate anomalies in ...
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Anomaly Detection in Machine Learning: Examples, Applications & Use Cases | IBM
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