Real-time air quality monitoring and alerting – Part 2 - Training Azure Anomaly Detector
Read OriginalThis technical tutorial details the process of training Azure Cognitive Services' Anomaly Detector for multivariate analysis on air quality IoT data. It covers preparing sensor data (PM10, PM2.5, temperature, humidity), formatting it for training, and using Azure Stream Analytics to transform and process the data streams from an Azure IoT Hub.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser