In this chapter, we will learn about the new capabilities that were launched with the Azure Machine Learning service that can help data scientists and AI developers with end-to-end (E2E) machine learning.
When developing AI applications, we can use cognitive services, as described in Chapter 3, Cognitive Services. Alternatively, we can create custom machine learning models with our own data, because cognitive services won't work in every possible scenario. In cases such as these, we have to train our own machine learning algorithms. The Azure Machine Learning service has an SDK, CLI, and APIs that can help you to create these custom models.
In this chapter, we are going to learn how to use the Azure Machine Learning SDK for Python in order to carry out E2E machine learning.