consistent H2 naming

Author: mrbullwinkle

articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-csharp.md

@@ -118,8 +118,7 @@ This quickstart uses the `request-data.csv` file that can be downloaded from our
 curl "https://raw.githubusercontent.com/Azure/azure-sdk-for-python/main/sdk/anomalydetector/azure-ai-anomalydetector/samples/sample_data/request-data.csv" --output request-data.csv
 ```
 
-## Detect an anomaly from an entire time series
-
+## Detect anomalies
 
 From the project directory, open the *program.cs* file and replace with the following code:
 

articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-python.md

@@ -94,7 +94,7 @@ This quickstart uses the `request-data.csv` file that can be downloaded from our
 curl "https://raw.githubusercontent.com/Azure/azure-sdk-for-python/main/sdk/anomalydetector/azure-ai-anomalydetector/samples/sample_data/request-data.csv" --output request-data.csv
 ```
 
-## Detect an anomaly from an entire time series
+## Detect anomalies
 
 1. Create a new Python file called quickstart.py. Then open it up in your preferred editor or IDE.
 

articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-rest-api.md

@@ -64,7 +64,7 @@ echo export ANOMALY_DETECTOR_ENDPOINT="REPLACE_WITH_YOUR_ENDPOINT_HERE" >> /etc/
 
 ---
 
-## Detect anomalies for an entire series
+## Detect anomalies
 
 At a command prompt, run the following command. You'll need to insert the following values into the command.
 - Your Anomaly detector service subscription key.