Instruction: Describe methods or algorithms suitable for identifying outliers and the rationale behind choosing them.
Context: This question tests the candidate's ability to implement anomaly detection using machine learning techniques, understanding both the theoretical and practical aspects.
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The way I'd approach it in an interview is this: If anomaly detection is actually the goal, I would use a model that is designed for it rather than treating outlier detection as an afterthought. Depending on the data, that could mean Isolation...
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