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 What can we say without knowing anomalies? ''Understand you dataset''