Removes the machine learning tutorial (#409)

Author: lcawl

docs/en/stack/ml/analyzing.asciidoc

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

docs/en/stack/ml/index.asciidoc

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

docs/en/stack/ml/jobs.asciidoc

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