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
<l2st>
What can we say without knowing anomalies?
''Understand you dataset''
</l2st>
