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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Isolation forest models can be found on the free machine learning library for Python, scikit-learn.