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Supervised learning Supervised learning techniques use real-world input and output data to detect anomalies. These types of anomaly detection systems require a dataanalyst to label data points as either normal or abnormal to be used as training data.
That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior dataobservability. What are application analytics? Predictive analytics.
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