To train and deploy models using Microsoft Azure Machine Learning designer, you need compute power on which to run the training process, and to test the trained model after deploying it.

Create compute targets

Compute targets are cloud-based resources on which you can run model training and data exploration processes.

1. In  Microsoft https://ml.azure.com/ , view the Compute page (under Manage ). This is where you manage the compute targets for your data science activities. There are four kinds of compute resources you can create:

• Compute Instances : Development workstations that data scientists can use to work with data and models.

• Compute Clusters : Scalable clusters of virtual machines for on-demand processing of experiment code.

• Inference Clusters : Deployment targets for predictive services that use your trained models.

• Attached Compute : Links to existing Microsoft Azure compute resources, such as Virtual Machines or Azure Databricks clusters.

2. On the Compute Instances tab, add a new compute instance with the following settings. You'll use this as a workstation from which to test your model:

• Virtual Machine type : CPU

• Virtual Machine size : Standard_DS11_v2 (Choose Select from all options to search for and select this machine size)

• Compute name : enter a unique name

• Enable SSH access : Unselected

3. While the compute instance is being created, switch to the Compute Clusters tab, and add a new compute cluster with the following settings. You'll use this to train a machine learning model:

• Virtual Machine priority : Dedicated

• Maximum number of nodes : 2

• Idle seconds before scale down : 120

• Enable SSH access : Unselected

• Compute name : enter a unique name

• Minimum number of nodes : 0

• Virtual Machine type : CPU

• Virtual Machine size : Standard_DS11_v2 (Choose Select from all options to search for and select this machine size)

Note

If you decide not to complete this module, be sure to stop your compute instance to avoid incurring unnecessary charges to your Microsoft Azure subscription.

The compute targets will take some time to be created. You can move onto the next unit while you wait.