Anomaly detection is essential in processing large volumes of data, allowing businesses to identify outliers and potential problems before they escalate into larger issues.
Using machine learning techniques like OneClassSVM and Isolation Forest for anomaly detection not only helps in identifying unusual patterns but also provides significant insights into data anomalies crucial for informed decision-making.
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