Azure Machine Learning WorkBench

First published on MSDN on Sep 29, 2017

Getting Started with Machine Learning Workbench for Windows:

Install the Azure Machine Learning Workbench on your computer running Windows 10, Windows Server 2016, or newer.

1. Create Azure Machine Learning Preview Account https://docs.microsoft.com/en-gb/azure/machine-learning/preview/quickstart-installation
2. Download the latest Azure Machine Learning Workbench installer AmlWorkbenchSetup.msi .
   
3. Double-click the downloaded installer AmlWorkbenchSetup.msi from your File Explorer.
   
4. Finish the installation by following the on-screen instructions.

Setting up the Machine Learning WorkBench

Create Azure Machine Learning Experimentation account

You need to create and Microsoft Learning Experimentation Service within http://portal.azure.com

See https://docs.microsoft.com/en-gb/azure/machine-learning/preview/quickstart-installation

Step-by-Step Tutorials to getting Started on your experiment

Learn how to prepare your data, set up an experiment, and operationalize your models

1. Walk through the basics of Machine Learning services (preview)
2. Use the Machine Learning Workbench to build a model with the Iris flower dataset
3. Learn how to deploy a Machine Learning model
4. Use Azure Machine Learning Workbench for advanced data prep

Getting Started with Example Data Sets

Simply Click Try a Tutorial within the Azure Machine Learning Workbench Client

http://azureml.azureedge.net/content/apphome/index.html