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@ -20,7 +20,7 @@ than running multiple jobs against the same data.
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A _population job_ detects activity that is unusual compared to the behavior of
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the population. For more information, see
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{xpack-ref}/ml-configuring-pop.html[Performing Population Analysis].
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{stack-ov}/ml-configuring-pop.html[Performing Population Analysis].
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An _advanced job_ can contain multiple detectors and enables you to configure all
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job settings.
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@ -38,9 +38,6 @@ If you are not certain which type of job to create, you can use the
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*Data Visualizer* to learn more about your data and to identify possible fields
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for {ml} analysis.
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[role="screenshot"]
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image::ml/images/ml-data-visualizer.jpg[A screenshot of the Data Visualizer option when creating new jobs]
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[NOTE]
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===============================
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* If your index pattern does not contain a time field, you cannot use the *Data Visualizer*.
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@ -52,7 +49,7 @@ create and manage jobs and post data to them. For more information, see
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===============================
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Ready to get some hands-on experience? See
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{xpack-ref}/ml-getting-started.html[Getting Started with Machine Learning].
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{stack-ov}/ml-getting-started.html[Getting Started with Machine Learning].
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The following video tutorials also demonstrate single metric, multi-metric, and
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advanced jobs:
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