Skip to content

Commit

Permalink
Update machine-learning-r-csharp-web-service-examples.md
Browse files Browse the repository at this point in the history
Copy edits to first 2 paragraphs.
  • Loading branch information
gronster committed Jan 22, 2015
1 parent ed1467e commit deaa2a9
Showing 1 changed file with 4 additions and 5 deletions.
9 changes: 4 additions & 5 deletions articles/machine-learning-r-csharp-web-service-examples.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,14 +3,13 @@
<tags ms.service="machine-learning" ms.workload="data-services" ms.tgt_pltfrm="na" ms.devlang="na" ms.topic="article" ms.date="10/13/2014" ms.author="jaymathe" />


#Sample Web Services Built with R on Azure ML and Published to Marketplace
#Sample solutions using R on Machine Learning and published to Marketplace

In Azure Machine Learning Studio, users can write R code and with a few clicks, publish it as a web service for applications and devices to consume around the world.

From producing simple calculators that provide statistical functionality to creating a custom text-mining sentiment analysis predictor, both new and experienced R users can benefit from the ease with which users of Azure ML can operationalize R code. While these web services could be consumed by users, potentially through a mobile app or a website, the purpose of these web services is also to serve as an example of how Machine Learning can operationalize R scripts for analytical purposes and be used to create web services on top of R code.


With the Azure Machine Learning Studio, users can write R code and with a few clicks of a button, publish it as a web service for other individuals and devices to consume around the world. From producing simple calculators that provide statistical functionality to creating a custom text mining sentiment analysis predictor for example, both new and experienced R users can benefit from the ease with which users of Azure ML can operationalize R code. While these web services could be consumed by users, potentially through a mobile app or a website, the purpose of these web services is also to serve as an example of how Azure ML can operationalize R scripts for analytical purposes and be used to create web services on top of R code.

In this page you can find a broad set of example web services that were created using Azure ML and published to the Microsoft Azure Marketplace. Each web service has a comprehensive document attached, embedding sample data sets for testing the services and explaining how the user can create a similar service themselves.
In this page you can find a broad set of example web services that were created using Machine Learning and published to the Azure Marketplace. Each web service has a comprehensive document attached, embedding sample data sets for testing the services and explaining how the user can create a similar service themselves.

![Workflow][1]

Expand Down

0 comments on commit deaa2a9

Please sign in to comment.