Anomaly detection in machine learning: Finding outliers for optimization of business functions
IBM Big Data Hub
DECEMBER 19, 2023
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. Engineers can apply unsupervised learning methods to automate feature learning and work with unstructured data.
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