Working with Azure ML
Learning how to work with Azure ML is worth multiple books by itself. Azure ML is designed to help data scientists create and manage machine learning models that can be trained with the often-preferred Python framework.
In this section, we'll cover the basics of the Azure ML service that may interest you as a data analyst. We'll also touch upon some concepts within the service that are reserved for more advanced users so that you know what to explore further.
There are three approaches to working with Azure ML:
- Using the online UI called Azure Machine Learning Studio. This is a user-friendly approach that you can access at http://ml.azure.com.
- Using the Python SDK. This is mostly preferred by data scientists who are already familiar with Python and want to work with the Azure ML service programmatically.
- Using the Azure CLI extension for Azure ML. This is mostly preferred by administrators and machine learning engineers who...
