Skip to content

Commit

Permalink
freshness
Browse files Browse the repository at this point in the history
  • Loading branch information
cjgronlund committed Nov 11, 2016
1 parent 6551294 commit ab8e586
Show file tree
Hide file tree
Showing 2 changed files with 8 additions and 10 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -65,4 +65,3 @@ A new experiment is created in your workspace using the sample experiment as a t
* [Try using R in your experiment](machine-learning-r-quickstart.md)
* [Review sample R experiments](machine-learning-r-csharp-web-service-examples.md)
* [Create a web service API](machine-learning-publish-a-machine-learning-web-service.md)
* [Browse ready-to-use applications](https://datamarket.azure.com/browse?query=machine+learning)
Original file line number Diff line number Diff line change
Expand Up @@ -53,15 +53,14 @@ In [Machine Learning Studio](machine-learning-what-is-ml-studio.md), you can qui

![What is predictive analytics: Example of a predictive analytics experiment in Azure Machine Learning Studio](./media/machine-learning-what-is-machine-learning/azure-machine-learning-studio-predictive-score-experiment.png)

### Operationalize predictive analytics solutions: Purchase web services or publish your own
* Purchase ready-to-consume web services from [Microsoft Azure Marketplace](https://datamarket.azure.com/browse?query=machine+learning), such as Recommendations, Text Analytics, and Anomaly Detection.
* Operationalize your predictive analytics models:

* [Deploy web services](machine-learning-publish-a-machine-learning-web-service.md)
* [Train and retrain models through APIs](machine-learning-retrain-models-programmatically.md)
* [Manage web service endpoints](machine-learning-create-endpoint.md)
* [Scale a web service](machine-learning-scaling-webservice.md)
* [Consume web services](machine-learning-consume-web-services.md)
### Operationalize predictive analytics solutions by publishing your own
The following tutorials show you how to operationalize your predictive analytics models:

* [Deploy web services](machine-learning-publish-a-machine-learning-web-service.md)
* [Train and retrain models through APIs](machine-learning-retrain-models-programmatically.md)
* [Manage web service endpoints](machine-learning-create-endpoint.md)
* [Scale a web service](machine-learning-scaling-webservice.md)
* [Consume web services](machine-learning-consume-web-services.md)

## Key machine learning terms and concepts
Machine learning terms can be confusing. Here are definitions of key terms to help you. Use comments following to tell us about any other term you'd like defined.
Expand Down

0 comments on commit ab8e586

Please sign in to comment.