Section 1: Analyzing Time Series and Delivering Highly Accurate Forecasts with Amazon Forecast

This section will see you become familiar with time series data, the challenges it poses, and how it can be used to solve real-life business problems. You will learn about the different forms that time series datasets can take and the key use cases they help to address.

In this section, you will also learn about Amazon Forecast and how this AI service can help you tackle forecasting challenges. By the end of this section, you will have trained a forecast model and you will know how to generate new forecasts based on new data. You will also learn how to get deep insights from your model results to improve your forecasting strategy or gain a better understanding of the reason why a given prediction was made by your model.

This section comprises the following chapters:

• Chapter 1, An Overview of Time Series Analysis
• Chapter 2, An Overview of Amazon Forecast
• Chapter 3, Creating a Project and Ingesting Your Data
• Chapter 4, Training a Predictor with AutoML
• Chapter 5, Customizing Your Predictor Training
• Chapter 6, Generating New Forecasts
• Chapter 7, Improving and Scaling Your Forecast Strategy