Create Azure Machine Learning Resources
Our objective with machine learning is to design models, train them, validate them, and deploy them. Our main interface will be Azure Machine Learning Studio and the main organizing object is the Machine Learning Workspace. To develop our model we’ll use a compute instance within Azure ML and to train the model, we’ll use a cluster. In this post we’ll create the resources we need. Work with specific models including deployment and consumption will be covered in other posts.
