Anomaly Detection

Introduction to Anomaly Detection Anomaly detection is like being the Sherlock Holmes of the data world. You’re on the hunt for the unusual, the unexpected, and the downright suspicious. In today’s fast-paced, data-driven world, detecting anomalies in real-time is crucial for maintaining data integrity, security, and operational stability. So, how do we build a system that’s as sharp as Sherlock’s mind? Enter Apache Kafka and Machine Learning. Why Kafka and Machine Learning?...

Introduction to Anomaly Detection in IoT The Internet of Things (IoT) has revolutionized the way we collect and analyze data from various devices and sensors. However, with the increasing amount of data, the need to detect anomalies becomes crucial for ensuring system reliability, security, and efficiency. Anomaly detection is the process of identifying rare or unusual patterns in data that do not conform to expected behavior. In this article, we will explore how to create an anomaly detection system using the Isolation Forest algorithm, specifically tailored for IoT data....