How do you detect outliers and anomalies, and which method do you choose?

Outlier detection shows up in data cleaning, fraud, and monitoring, and there is no single right method. The signal is matching statistical, distance, or model-based families to the dimensionality, distribution, and labels you actually have.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.