updating dates

Author: Larry Franks

articles/machine-learning/concept-train-machine-learning-model.md

@@ -8,7 +8,7 @@ author: Blackmist
 ms.author: larryfr
 ms.subservice: core
 ms.topic: conceptual
-ms.date: 09/18/2019
+ms.date: 03/05/2020
 ---
 
 # Train models with Azure Machine Learning
@@ -84,6 +84,15 @@ Machine learning pipelines can use the previously mentioned training methods (ru
 * [Examples: Pipeline with automated machine learning](https://aka.ms/pl-automl)
 * [Examples: Pipeline with estimators](https://aka.ms/pl-estimator)
 
+## R SDK
+
+The R SDK enables you to use the R language with Azure Machine Learning. The SDK uses the retticulate package to bind to Azure Machine Learning's Python SDK. This allows you access to core objects and methods implemented in the Python SDK from any R environment.
+
+For more information, see the following articles:
+
+* [Tutorial: Create a logistic regression model](tutorial-1st-r-experiment.md)
+* [Azure Machine Learning SDK for R reference](https://azure.github.io/azureml-sdk-for-r/index.html)
+
 ## Azure Machine Learning designer
 
 The designer lets you to train models using a drag and drop interface in your web browser.

articles/machine-learning/how-to-deploy-custom-docker-image.md

@@ -9,7 +9,7 @@ ms.topic: conceptual
 ms.author: jordane
 author: jpe316
 ms.reviewer: larryfr
-ms.date: 08/22/2019
+ms.date: 03/05/2020
 ---
 
 # Deploy a model using a custom Docker base image

articles/machine-learning/how-to-enable-logging.md

@@ -8,7 +8,7 @@ ms.service: machine-learning
 ms.subservice: core
 ms.topic: conceptual
 ms.reviewer: trbye
-ms.date: 07/12/2019
+ms.date: 03/05/2020
 ---
 
 # Enable logging in Azure Machine Learning
@@ -96,7 +96,7 @@ You can also log custom stack traces for your web service by enabling Applicatio
 service.update(enable_app_insights=True)
 ```
 
-See the [how-to](how-to-enable-app-insights.md) for more information on how to work with Application Insights in Azure Machine Learning studio.
+For more information, see [Monitor and collect data from ML web service endpoints](how-to-enable-app-insights.md).
 
 ## Python native logging settings
 
@@ -106,3 +106,7 @@ Certain logs in the SDK may contain an error that instructs you to set the loggi
 import logging
 logging.basicConfig(level=logging.DEBUG)
 ```
+
+## Next steps
+
+* [Monitor and collect data from ML web service endpoints](how-to-enable-app-insights.md)

articles/machine-learning/how-to-secure-web-service.md

@@ -1,7 +1,7 @@
 ---
-title: Secure web services using SSL
+title: Secure web services using TLS
 titleSuffix: Azure Machine Learning
-description: Learn how to enable HTTPS in order to secure a web service that's deployed through Azure Machine Learning. 
+description: Learn how to enable HTTPS in order to secure a web service that's deployed through Azure Machine Learning. Azure Machine Learning uses TLS version 1.2 to secure models deployed as web services.
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
@@ -10,11 +10,11 @@ ms.topic: conceptual
 ms.reviewer: jmartens
 ms.author: aashishb
 author: aashishb
-ms.date: 08/12/2019
+ms.date: 03/05/2020
 ms.custom: seodec18
 ---
 
-# Use SSL to secure a web service through Azure Machine Learning
+# Use TLS to secure a web service through Azure Machine Learning
 [!INCLUDE [applies-to-skus](../../includes/aml-applies-to-basic-enterprise-sku.md)]
 
 This article shows you how to secure a web service that's deployed through Azure Machine Learning.