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.

You will learn:

• Key techniques for anomaly detection
• How to implement a simple anomaly detector in .NET
• How to use the anomaly detection API in Azure Cognitive Services