mirror of
https://github.com/Azure/MachineLearningNotebooks.git
synced 2025-12-23 20:00:06 -05:00
21 lines
2.0 KiB
Markdown
21 lines
2.0 KiB
Markdown
## Examples to get started with Azure Machine Learning service
|
|
|
|
Learn how to use Azure Machine Learning services for experimentation and model management.
|
|
|
|
If you are using an Azure Machine Learning Notebook VM, you are all set. Otherwise, go through the [configuration Notebook](../configuration.ipynb) first if you haven't already to establish your connection to the AzureML Workspace. Then, run the notebooks in following recommended order.
|
|
|
|
* [train-within-notebook](./training/train-within-notebook): Train a model hile tracking run history, and learn how to deploy the model as web service to Azure Container Instance.
|
|
* [train-on-local](./training/train-on-local): Learn how to submit a run to local computer and use Azure ML managed run configuration.
|
|
* [train-on-amlcompute](./training/train-on-amlcompute): Use a 1-n node Azure ML managed compute cluster for remote runs on Azure CPU or GPU infrastructure.
|
|
* [train-on-remote-vm](./training/train-on-remote-vm): Use Data Science Virtual Machine as a target for remote runs.
|
|
* [logging-api](./training/logging-api): Learn about the details of logging metrics to run history.
|
|
* [register-model-create-image-deploy-service](./deployment/register-model-create-image-deploy-service): Learn about the details of model management.
|
|
* [production-deploy-to-aks](./deployment/production-deploy-to-aks) Deploy a model to production at scale on Azure Kubernetes Service.
|
|
* [enable-data-collection-for-models-in-aks](./deployment/enable-data-collection-for-models-in-aks) Learn about data collection APIs for deployed model.
|
|
* [enable-app-insights-in-production-service](./deployment/enable-app-insights-in-production-service) Learn how to use App Insights with production web service.
|
|
|
|
Find quickstarts, end-to-end tutorials, and how-tos on the [official documentation site for Azure Machine Learning service](https://docs.microsoft.com/en-us/azure/machine-learning/service/).
|
|
|
|
|
|
|