Anomaly Detection: The Bad Boy of Data Science
summary
Covers anomaly detection in data using both classical methods and deep learning techniques, including how anomalies are defined and found across different domains. Discusses the challenges around what constitutes an anomaly and motivations for detecting them.
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chapters (5)
- 0:00Start
- 11:38Number of trips per day
- 12:17Model based anomalies
- 16:11Local Outlier Factor
- 19:41Method Summary
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