edits

Author: diberry

articles/cognitive-services/personalizer/includes/quickstart-sdk-csharp.md

@@ -8,7 +8,7 @@ ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: include
 ms.custom: include file
-ms.date: 01/15/2020
+ms.date: 04/27/2020
 ms.author: diberry
 ---
 [Reference documentation](https://docs.microsoft.com/dotnet/api/Microsoft.Azure.CognitiveServices.Personalizer?view=azure-dotnet-preview) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/cognitiveservices/Personalizer) | [Package (NuGet)](https://www.nuget.org/packages/Microsoft.Azure.CognitiveServices.Personalizer/) | [Samples](https://github.com/Azure-Samples/cognitive-services-personalizer-samples)
@@ -106,7 +106,7 @@ Next, create a method to return a Personalizer client. The parameter to the meth
 
 ## Get food items as rankable actions
 
-Actions represent the content choices from which you want Personalizer to select the best content item. Add the following methods to the Program class to represent the set of actions and their features.
+Actions represent the content choices from which you want Personalizer to select the best content item. Add the following methods to the Program class to represent the set of actions and their features. 
 
 [!code-csharp[Food items as actions](~/samples-personalizer/quickstarts/csharp/PersonalizerExample/Program.cs?name=createAction)]
 

articles/cognitive-services/personalizer/includes/quickstart-sdk-nodejs.md

@@ -8,7 +8,7 @@ ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: include
 ms.custom: include file
-ms.date: 01/15/2020
+ms.date: 04/27/2020
 ms.author: diberry
 ---
 [Reference documentation](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-personalizer/?view=azure-node-latest) |[Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/cognitiveservices/cognitiveservices-personalizer) | [Package (NPM)](https://www.npmjs.com/package/@azure/cognitiveservices-personalizer) | [Samples](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/quickstarts/node/sample.js)
@@ -31,7 +31,7 @@ There are several steps to use this quickstart:
 
 [!INCLUDE [Create Azure resource for Personalizer](create-personalizer-resource.md)]
 
-[!INCLUDE [!Change model frequency](change-model-frequency.md)]
+[!INCLUDE [Change model frequency](change-model-frequency.md)]
 
 ## Create a new Node.js application
 

articles/cognitive-services/personalizer/includes/quickstart-sdk-python.md

@@ -8,7 +8,7 @@ ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: include
 ms.custom: include file
-ms.date: 01/15/2020
+ms.date: 04/27/2020
 ms.author: diberry
 ---
 [Reference documentation](https://docs.microsoft.com/python/api/azure-cognitiveservices-personalizer/azure.cognitiveservices.personalizer?view=azure-python) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/cognitiveservices/azure-cognitiveservices-personalizer) | [Package (pypi)](https://pypi.org/project/azure-cognitiveservices-personalizer/) | [Samples](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/quickstarts/python/sample.py)
@@ -31,7 +31,7 @@ There are several steps to use this quickstart:
 
 [!INCLUDE [Create Azure resource for Personalizer](create-personalizer-resource.md)]
 
-[!INCLUDE [!Change model frequency](change-model-frequency.md)]
+[!INCLUDE [Change model frequency](change-model-frequency.md)]
 
 ## Install the Python library for Personalizer
 

articles/cognitive-services/personalizer/sdk-learning-loop.md

@@ -12,7 +12,7 @@ Display personalized content in this quickstart with the Personalizer service.
 
 Get started with the Personalizer client library. Follow these steps to install the package and try out the example code for basic tasks.
 
- * Rank API -  Selects the best item, from content items, based on real-time information you provide about content and context.
+ * Rank API -  Selects the best item, from actions, based on real-time information you provide about content and context.
  * Reward API - You determine the reward score based on your business needs, then send it to Personalizer with this API. That score can be a single value such as 1 for good, and 0 for bad, or an algorithm you create based on your business needs.
 
 ::: zone pivot="programming-language-csharp"

articles/cognitive-services/personalizer/tutorial-use-azure-notebook-generate-loop-data.md

@@ -293,7 +293,7 @@ def add_event_id(rankjsonobj):
 
 This function selects a unique user, weather, and time of day, then adds those items to the JSON object to send to the Rank request.
 
-The cell has no output. When the function is called it returns the random user's name, random weather, and random time of day.
+The cell has no output. When the function is called, it returns the random user's name, random weather, and random time of day.
 
 The list of 4 users and their preferences - only some preferences are shown for brevity: