AI detection, often referred to as AI or machine learning based anomaly detection, is a technique used to identify abnormal patterns or data points within a given dataset. This process involves training a machine learning model on a set of normal data to establish a baseline, and then using the model to detect and flag any deviations from this baseline as anomalies. AI detection is commonly used in a variety of applications such as fraud detection, cybersecurity, and predictive maintenance.
AI detection, often referred to as AI or machine learning based anomaly detection, is a technique used to identify abnormal patterns or data points within a given dataset
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