Each chapter in this part covers the use of machine learning to enhance the productivity of a single operational area. The areas covered are
- Approving purchase orders
- Evaluating which customers are at risk of churning
- Identifying support requests that should be escalated immediately
- Auditing invoices from suppliers
- Forecasting operational trends, such as power consumption, using time-series data
- Incorporating additional features into time-series forecasting
In each chapter, you download a Jupyter notebook and a dataset and upload it to your AWS SageMaker account. You can then run the notebook to create and test the model. The text in the chapter takes you through the notebook in detail so you understand how it works. You can then use the notebook with datasets from your company to accomplish the same task.