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@@ -40,7 +40,6 @@ With the BYO-ML platform, you can get a jump start on building your own ML model
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- The libraries support data movements. Training and scoring notebooks demonstrate the end-to-end experience and serve as a template for you to adapt to your environment.
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### Use cases
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The BYO-ML platform and package significantly reduce the time and effort you'll need to build your own ML detections, and they unleash the capability to address specific security problems in Microsoft Sentinel. The platform supports the following use cases:
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**Train an ML algorithm to get a customized model:** You can take an existing ML algorithm (shared by Microsoft or by the user community) and easily train it on your own data to get a customized ML model that better fits your data and environment.
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Here is a sample set of commands to setup automatic exporting:
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```azurecli
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az –version
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az monitor log-analytics workspace data-export list --resource-group "RG_NAME" --workspace-name "WS_NAME"
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In this document, you learned how to use Microsoft Sentinel's BYO-ML platform for creating or importing your own machine learning algorithms to analyze data and detect threats.
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- See posts about machine learning and lots of other relevant topics in the [Microsoft Sentinel Blog](https://aka.ms/azuresentinelblog).
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