[ML UI][9.4 & Serverless] Document zoom in/out buttons on ML date pickers

explore-analyze/machine-learning/anomaly-detection/ml-ad-view-results.md

@@ -19,6 +19,10 @@ Depending on the capacity of your machine, you might need to wait a few seconds
 
 There are two tools for examining the results from {{anomaly-jobs}} in {{kib}}: the **Anomaly Explorer** and the **Single Metric Viewer**.
 
+::::{tip}
+Use the date picker to adjust the time range for your results. You can use the **Zoom in** and **Zoom out** buttons next to the date picker to quickly narrow or widen the time range.
+::::
+
 ## Bucket results [ml-ad-bucket-results]
 
 When you view your {{ml}} results, each bucket has an anomaly score. This score is a statistically aggregated and normalized view of the combined anomalousness of all the record results in the bucket.

explore-analyze/machine-learning/machine-learning-in-kibana.md

@@ -13,7 +13,12 @@ products:
 
 As data sets increase in size and complexity, the human effort required to inspect dashboards or maintain rules for spotting infrastructure problems, cyber attacks, or business issues becomes impractical. Elastic {{ml-features}} such as {{anomaly-detect}} and {{oldetection}} make it easier to notice suspicious activities with minimal human interference.
 
-{{kib}} includes a free **{{data-viz}}** to learn more about your data. In particular, if your data is stored in {{es}} and contains a time field, you can use the **{{data-viz}}** to identify possible fields for {{anomaly-detect}}:
+{{kib}} includes a free **{{data-viz}}** to learn more about your data. In particular, if your data is stored in {{es}} and contains a time field, you can use the **{{data-viz}}** to identify possible fields for {{anomaly-detect}}.
+
+::::{tip}
+Use the **Zoom in** and **Zoom out** buttons next to the date picker to quickly narrow or widen the time range when exploring your data.
+::::
+
 
 :::{image} /explore-analyze/images/kibana-ml-data-visualizer-sample.png
 :alt: {{data-viz}} for sample flight data

explore-analyze/machine-learning/machine-learning-in-kibana/xpack-ml-aiops.md

@@ -16,9 +16,13 @@
 
 AIOps Labs is a part of {{ml-app}} in {{kib}} which provides features that use advanced statistical methods to help you interpret your data and its behavior.
 
+::::{tip}
+Each AIOps tool includes a date picker to control the time range for your analysis. Use the **Zoom in** and **Zoom out** buttons next to the date picker to quickly narrow or widen the time range.
+::::
+
 ## Log rate analysis [log-rate-analysis]
 
 Log rate analysis uses advanced statistical methods to identify reasons for increases or decreases in log rates and displays the statistically significant data in a tabular format. It makes it easy to find and investigate causes of unusual spikes or drops by using the analysis workflow view. Examine the histogram chart of the log rates for a given {{data-source}}, and find the reason behind a particular change possibly in millions of log events across multiple fields and values.
 
 You can find log rate analysis embedded in multiple applications. In {{kib}}, you can find it under **{{ml-app}}** > **AIOps Labs** or by using the [global search field](/explore-analyze/find-and-organize/find-apps-and-objects.md). Here, you can select the {{data-source}} or saved Discover session that you want to analyze.