Anomaly Detection Explained: AI Techniques for Spotting Unusual Data Patterns
Автор: Learning Tree International
Загружено: 2025-01-30
Просмотров: 690
Описание:
What is Anomaly Detection?
Join Chris Mawata, a seasoned instructor at Learning Tree International and mathematics professor, as he dives into the fascinating world of anomaly detection. This introductory video explains the concept of anomaly detection, a set of AI techniques used to identify unusual data patterns.
Chris breaks down why anomaly detection is crucial in a data-driven world and explores its three main approaches:
• Supervised Anomaly Detection – Training models with labeled data to identify normal and abnormal behavior.
• Semi-Supervised Anomaly Detection – Using unlabeled data to train models that can recognize patterns.
• Unsupervised Anomaly Detection – Identifying anomalies without labeled data, relying on algorithms to flag outliers.
Discover practical applications of anomaly detection, from spotting hacking attempts and bank fraud to identifying equipment malfunctions before they become costly problems.
Want to learn more about anomaly detection and other cutting-edge topics? Visit https://bit.ly/3CptSCh today!
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