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Removes the machine learning tutorial (#409)
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docs/en/stack/ml/analyzing.asciidoc

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@@ -25,5 +25,5 @@ occur outside these bounds.
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[role="screenshot"]
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image::ml/images/ml-gs-job-analysis.jpg["Example screenshot from the Machine Learning Single Metric Viewer in Kibana"]
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For a more detailed walk-through of {ml-features}, see
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<<ml-getting-started>>.
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//For a more detailed walk-through of {ml-features}, see
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//<<ml-getting-started>>.

docs/en/stack/ml/index.asciidoc

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@@ -8,7 +8,7 @@ Machine learning is tightly integrated with the {stack}. Data is pulled
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from {es} for analysis and anomaly results are displayed in {kib} dashboards.
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* <<ml-overview>>
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* <<ml-getting-started>>
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//* <<ml-getting-started>>
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* <<ml-configuring>>
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* <<stopping-ml>>
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* <<ml-troubleshooting, Troubleshooting Machine Learning>>
@@ -20,7 +20,7 @@ from {es} for analysis and anomaly results are displayed in {kib} dashboards.
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include::overview.asciidoc[]
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include::getting-started.asciidoc[]
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//include::getting-started.asciidoc[]
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include::{es-repo-dir}/ml/configuring.asciidoc[]
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docs/en/stack/ml/jobs.asciidoc

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@@ -26,8 +26,8 @@ In {kib}, there are wizards that help you create specific types of jobs, such
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as _single metric_, _multi-metric_, and _population_ jobs. A single metric job
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is just a job with a single detector and limited job properties. To have access
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to all of the job properties in {kib}, you must choose the _advanced_ job wizard.
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If you want to try creating single and multi-metrics jobs in {kib} with sample
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data, see <<ml-getting-started>>.
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//If you want to try creating single and multi-metrics jobs in {kib} with sample
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//data, see <<ml-getting-started>>.
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You can also optionally assign jobs to one or more _job groups_. You can use
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job groups to view the results from multiple jobs more easily and to expedite

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