Anomalies are rare, so often only a few datapoints known (e.g. Machine Failure in an Aircraft)
In practice, anomalies might appear that are not known during testing
->So train the model only on normal samples
Unsupervised Machine Learning
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What can we say without knowing anomalies?
''Understand you dataset''
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