Some images

Author: nastasha-solomon

explore-analyze/images/machine-learning-detailed-single-metric.jpg

@@ -55,7 +55,7 @@ Two more factors may lead to a reduction of the initial score: a high variance i
 
 Real-world anomalies often show the impacts of several factors. The **Anomaly explanation** section in the Single Metric Viewer can help you interpret an anomaly in its context.
 
-:::{image} /explore-analyze/images/machine-learning-detailed-single-metric.jpg
+:::{image} /explore-analyze/images/machine-learning-detailed-single-metric.png
 :alt: Detailed view of the Single Metric Viewer in {{kib}}
 :screenshot:
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explore-analyze/images/machine-learning-detailed-single-metric.png

@@ -20,7 +20,7 @@ You can also use it to estimate the probability of a time series value occurring
 
 Each forecast has a unique ID, which you can use to distinguish between forecasts that you created at different times. You can create a forecast by using the [forecast {{anomaly-jobs}} API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-forecast) or by using {{kib}}. For example:
 
-:::{image} /explore-analyze/images/machine-learning-overview-forecast.jpg
+:::{image} /explore-analyze/images/machine-learning-overview-forecast.png
 :alt: Example screenshot from the Machine Learning Single Metric Viewer in Kibana
 :screenshot:
 :::

explore-analyze/images/machine-learning-influencers.jpg

@@ -51,7 +51,7 @@ The influencer results show which entities were anomalous and when. One influenc
 
 For example, the `high_sum_total_sales` {{anomaly-job}} for the eCommerce orders sample data uses `customer_full_name.keyword` and `category.keyword` as influencers. You can examine the influencer results with the [get influencers API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-ml-get-influencers). Alternatively, you can use the **Anomaly Explorer** in {{kib}}:
 
-:::{image} /explore-analyze/images/machine-learning-influencers.jpg
+:::{image} /explore-analyze/images/machine-learning-influencers.png
 :alt: Influencers in the {{kib}} Anomaly Explorer
 :screenshot:
 :::