[DOCS] Refreshes ML job creation screenshots

docs/ml/creating-jobs.asciidoc

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