Merge pull request #115140 from Blackmist/many-models

many model accelerator

Author: PRMerger7

articles/machine-learning/concept-azure-machine-learning-architecture.md

@@ -8,7 +8,7 @@ ms.subservice: core
 ms.topic: conceptual
 ms.author: larryfr
 author: Blackmist
-ms.date: 03/17/2020
+ms.date: 05/13/2020
 ms.custom: seoapril2019, seodec18
 # As a data scientist, I want to understand the big picture about how Azure Machine Learning works.
 ---
@@ -44,7 +44,7 @@ Use these tools for Azure Machine Learning:
 + Interact with the service in any R environment with the [Azure Machine Learning SDK for R](https://azure.github.io/azureml-sdk-for-r/reference/index.html).
 + Automate your machine learning activities with the [Azure Machine Learning CLI](https://docs.microsoft.com/azure/machine-learning/reference-azure-machine-learning-cli).
 + Use [Azure Machine Learning designer (preview)](concept-designer.md) to perform the workflow steps without writing code.
-
++ The [Many Models Solution Accelerator](https://aka.ms/many-models) (preview) builds on Azure Machine Learning and enables you to train, operate, and manage hundreds or even thousands of machine learning models.
 
 > [!NOTE]
 > Although this article defines terms and concepts used by Azure Machine Learning, it does not define terms and concepts for the Azure platform. For more information about Azure platform terminology, see the [Microsoft Azure glossary](https://docs.microsoft.com/azure/azure-glossary-cloud-terminology).

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: 03/05/2020
+ms.date: 05/13/2020
 ---
 
 # Train models with Azure Machine Learning
@@ -107,6 +107,18 @@ The designer lets you to train models using a drag and drop interface in your we
 + [Classification with custom R script: Predict flight delays](how-to-designer-sample-classification-flight-delay.md)
 + [Text Classification: Wikipedia SP 500 Dataset](how-to-designer-sample-text-classification.md)
 
+## Many models solution accelerator
+
+The [Many Models Solution Accelerator](https://aka.ms/many-models) (preview) builds on Azure Machine Learning and enables you to train, operate, and manage hundreds or even thousands of machine learning models.
+
+For example, building a model __for each instance or individual__ in the following scenarios can lead to improved results:
+
+* Predicting sales for each individual store
+* Predictive maintenance for hundreds of oil wells
+* Tailoring an experience for individual users.
+
+For more information, see the [Many Models Solution Accelerator](https://aka.ms/many-models) on GitHub.
+
 ## CLI
 
 The machine learning CLI is an extension for the Azure CLI. It provides cross-platform CLI commands for working with Azure Machine Learning. Typically, you use the CLI to automate tasks, such as training a machine learning model.

articles/machine-learning/overview-what-is-azure-ml.md

@@ -41,6 +41,8 @@ Azure Machine Learning provides all the tools developers and data scientists nee
 
 + R scripts or notebooks in which you use the <a href="https://azure.github.io/azureml-sdk-for-r/reference/index.html" target="_blank">SDK for R</a> to write your own code, or use the R modules in the designer.
 
++ + The [Many Models Solution Accelerator](https://aka.ms/many-models) (preview) builds on Azure Machine Learning and enables you to train, operate, and manage hundreds or even thousands of machine learning models.
+
 + [Visual Studio Code extension](tutorial-setup-vscode-extension.md)
 
 + [Machine learning CLI](reference-azure-machine-learning-cli.md)