review updates

docs/en/observability/monitor-nginx-ml.asciidoc

@@ -2,7 +2,7 @@
 [[monitor-nginx-ml]]
 == Part 5: Find anomalies in your nginx access logs
 
-The {integrations-docs}/nginx[Nginx Elastic integration] to help find unusual activity in your nginx access logs.
+Use the {integrations-docs}/nginx[nginx Elastic integration] machine learning (ML) module to help find unusual activity in your nginx access logs.
 Monitoring anomalies in your access logs helps you detect:
 
 * security threats
@@ -24,7 +24,7 @@ Unusual status code rates (`status_code_rate_nginx`):: Uses the {ml-docs}/ml-cou
 Unusual visitor rates (`visitor_rate_nginx`):: Uses the {ml-docs}/ml-count-functions.html#ml-nonzero-count[`non_zero_count`] function to detect abnormal visitor rates. High visitor rates could indicate something malicious like a DDoS attack.
 Low visitor rates could indicate issues with access to the server.
 
-Refer to {integrations-docs}/nginx#ml-modules[nginx integration ML modules] for more on the jobs and the ML module manifest.
+NOTE: These anomaly detection jobs are available when you have data that matches the query specified in the ML module manifest. Users not following this tutorial can refer to {integrations-docs}/nginx#ml-modules[nginx integration ML modules] for more about the ML module manifest.
 
 [discrete]
 [[monitor-nginx-ml-prereqs]]