What are the applications of outlier detection in industry?
Outlier detection is crucial in industries like finance, healthcare, and manufacturing for identifying anomalies.
Can you give me some specific examples?
Sure! In finance, it helps detect fraudulent transactions. In healthcare, it identifies unusual patient data.
What tools are commonly used for outlier detection?
Common tools include Python libraries like Scikit-learn, R packages, and specialized software like SAS.
How does outlier detection improve decision-making?
It enhances decision-making by providing insights into unusual patterns, allowing for proactive measures.
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