Does This Look Weird to You? An Introduction to Anomaly Detection
outlier
anomaly
Cognitive Services
FSharp
ML.NET
Discovering anomalies is a critical part of systems monitoring, financial auditing, and more. In this session, we will gain an understanding of what constitutes an anomaly, starting with a general concept of anomalies and then moving into technical definitions. We will review techniques for detecting anomalies for both time series and non-series data and implement a simple anomaly detector in .NET. Finally, we will compare these results against Microsoft's anomaly detector in Azure Cognitive Services.
Prerequisites
Nothing. We will start from scratch with outlier detection.
Take Aways
- Learn what outliers and anomalies are
- Understand several techniques for performing outlier detection
- Implement a simple outlier detector with ML.NET
- Integrate with Azure Cognitive Services Anomaly Detector