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Merge pull request #103044 from krishna0815/patch-36
remove preview tag
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articles/stream-analytics/stream-analytics-previews.md

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ms.reviewer: mamccrea
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ms.service: stream-analytics
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ms.topic: conceptual
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ms.date: 10/30/2019
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ms.date: 2/1/2020
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# Azure Stream Analytics preview features
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Azure Stream Analytics jobs can be authored in Visual Studio Code. See our [VS Code getting started tutorial](https://docs.microsoft.com/azure/stream-analytics/quick-create-vs-code).
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### Anomaly Detection
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Azure Stream Analytics introduces new machine learning models with support for *spike* and *dips* detection in addition to bi-directional, slow positive, and slow negative trends detection. For more information, visit [Anomaly detection in Azure Stream Analytics](stream-analytics-machine-learning-anomaly-detection.md).
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### Integration with Azure Machine Learning
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You can scale Stream Analytics jobs with Machine Learning (ML) functions. To learn more about how you can use ML functions in your Stream Analytics job, visit [Scale your Stream Analytics job with Azure Machine Learning functions](stream-analytics-scale-with-machine-learning-functions.md). Check out a real-world scenario with [Performing sentiment analysis by using Azure Stream Analytics and Azure Machine Learning](stream-analytics-machine-learning-integration-tutorial.md).

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