[DOCS] Small edits

Author: lcawl

docs/en/stack/ml/anomaly-detection/influencers.asciidoc

@@ -3,9 +3,9 @@
 === Influencers
 
 When anomalous events occur, we want to know why. To determine the cause,
-however, we often need a broader knowledge of the domain. If you have suspicions
-about which entities in your dataset are likely causing irregularities, you can 
-identify them as _influencers_ in your {anomaly-jobs}.
+however, you often need a broader knowledge of the domain. If you have
+suspicions about which entities in your dataset are likely causing
+irregularities, you can  identify them as _influencers_ in your {anomaly-jobs}.
 
 That is to say, influencers are fields that you suspect contain information
 about someone or something that influences or contributes to anomalies in your