This document provides an overview of Amazon Machine Learning (AML) including: - AML allows for supervised learning on structured CSV data with little to no coding needed using AWS hosted models. - AML is best for exploring data, intro to machine learning, and not wanting to manage infrastructure or pay high costs. - Limitations include only supporting "medium data", no model export, single region/algorithm, and being AWS only. - An example shows training data, observations, predictions for customer churn, and discusses ethics and scale issues. - Alternatives like other AWS services, Google, Azure, and open source tools are also presented.