Professional Certificate in Anomaly Detection: A Practical Guide
-- ViewingNowThe Professional Certificate in Anomaly Detection: A Practual Guide is a course designed to equip learners with essential skills in identifying and handling anomalies in data. This certificate course is critical for professionals in data science, machine learning, and artificial intelligence, where identifying unusual patterns is crucial.
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โข Introduction to Anomaly Detection
โข Understanding Data Normalcy and Outliers
โข Types of Anomaly Detection: Supervised, Unsupervised, and Semi-supervised
โข Common Techniques in Anomaly Detection: Statistical, Machine Learning, and Deep Learning Approaches
โข Anomaly Detection using Time Series Analysis
โข Practical Applications of Anomaly Detection: Fraud Detection, Intrusion Detection, and System Health Monitoring
โข Performance Metrics for Anomaly Detection
โข Real-world Challenges and Best Practices in Anomaly Detection
โข Hands-on: Building an Anomaly Detection System using Python and Machine Learning Libraries
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