In time-series anomaly detection, what does a skilled practitioner use to establish expected sensor readings?
Answer
Building a profile of normal behavior for each sensor location using machine learning, often Bayesian techniques.
A skilled practitioner uses machine learning, often Bayesian techniques, to build a profile of 'normal behavior' that accounts for natural variations like daily or seasonal cycles, allowing for the detection of subtle, significant anomalies.
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