A guide to using Notehub's smart fleets feature to automatically detect and categorize IoT devices with anomalies like bad mounting or faulty sensors.
Explores five industry patterns for building robust content moderation and fraud detection systems using ML, including human-in-the-loop and data augmentation.
An overview of open-source tools for annotating time series data, including their features, maintenance status, and use cases.
Part 2 of a series on using Azure Anomaly Detector to identify unusual patterns in air quality sensor data for safety alerts.
A guide to implementing a simple anomaly detection system using only SQL and basic statistics, aimed at developers.
A technical guide on using Kibana Timelion's holt function for anomaly detection on system CPU metrics from Metricbeat data.
Evaluating Twitter's BreakoutDetection R package for time-series anomaly detection using real blog traffic data.
Explains how to use the Adobe Analytics API and R for statistical anomaly detection in time-series marketing data.
