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Anomaly Detection

Anomaly detection is the process of identifying unusual patterns or outliers in data that do not conform to expected behavior. This technique is used across various fields, like finance to spot fraud, or healthcare to detect rare diseases. By analyzing data and establishing a baseline of normal activity, anomalies are flagged for further investigation. Essentially, it's about discovering things that stand out from the crowd, helping organizations make informed decisions and address issues before they escalate.

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    Anomaly detection is the process of identifying unusual patterns or outliers in data that differ significantly from the norm. In everyday life, think of it like noticing a car parked illegally in your neighborhood; it's something that stands out from the usual scene. In technology, anomaly detection is used in various fields, such as finance to spot fraudulent transactions or in healthcare to identify abnormal patient readings. By recognizing these anomalies, organizations can investigate further and take action to address potential issues or threats.