Section 2: Detecting Abnormal Behavior in Multivariate Time Series with Amazon Lookout for Equipment
In this section, you will learn how to train a model that spots anomalies in multivariate sensor data and create a scheduler to monitor your equipment. You will also read about the insights Amazon Lookout for Equipment can deliver to help you improve your anomaly detection and prediction practice.
This section comprises the following chapters:
- Chapter 8, An Overview of Amazon Lookout for Equipment
- Chapter 9, Creating a Dataset and Ingesting Your Data
- Chapter 10, Training and Evaluating a Model
- Chapter 11, Scheduling Regular Inferences
- Chapter 12, Reducing Time to Insights for Anomaly Detections