Summary
In this chapter, you have seen how you can use the MAML to create machine learning experiments. Instead of writing your code in Python, you can use the various algorithms provided by Microsoft and build your machine learning models visually using drag and drop. This is very useful for beginners who want to get started with machine learning without diving into the details. Best of all, MAML helps you to deploy your machine learning as a web service automatically—and it even provides the code for you to consume it.
In the next chapter, you will learn how to deploy your machine learning models created in Python and Scikit‐learn manually using Python and the Flask micro‐framework.
