In the first part of this chapter, we went through the Amazon account creation and how to properly set up and secure access to your AWS account. Using a combination of Multi Factor Authentication and User creation, we were able to quickly reach a satisfactory level of safety. AWS is a powerful platform with powerful tools and it's important to implement the best access protection possible.

In the second part, we went through the different steps involved in a simple linear regression prediction, from loading the data into S3, making that data accessible to Amazon ML via datasources, creating models, interpreting evaluations, and making predictions on new data.

The Amazon ML flow is smooth and facilitates the inherent data science loop: data, model, evaluation, and prediction.

In the following chapter, we will dive further into data preparation and data transformation. This time we will use a classic binary classification problem, namely, survival on the Titanic, which is based on a very...