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Thursday, February 22, 2018

SQL Server Machine Learning Services – Part 4: Finding Data Anomalies with Python

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SQL Server Machine Learning Services – Part 4: Finding Data Anomalies with Python

Python is widely used to analyze data. One such use is to find anomalies or outliers. In this article, Robert Sheldon demonstrates how to create a support vector machine (SVM) to score test data so that outliers can be viewed on a scatter plot.

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