Overview of an Amazon Machine Learning Workflow

This chapter offers an overview of the workflow of a simple Amazon Machine Learning (Amazon ML) project, which comprises three main phases:

1. Preparing the data
2. Training and selecting the model
3. Making predictions

The reader will learn how to get started on the Amazon Machine Learning platform, how to set up an account, and how to secure it. In the second part, we go through a simple numeric prediction problem based on a classic dataset. We describe each of the three steps mentioned above, what happens, what to expect, and how to interpret the final result.

In this chapter, we will study the following:

• Opening an Amazon Web Services (AWS) account
• Setting up the account
• Overview of a standard Amazon Machine Learning workflow