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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⢠Introduction to Anomaly Detection
⢠Understanding Data Normalcy and Outliers
⢠Types of Anomaly Detection: Supervised, Unsupervised, and Semi-supervised
⢠Common Techniques in Anomaly Detection: Statistical, Machine Learning, and Deep Learning Approaches
⢠Anomaly Detection using Time Series Analysis
⢠Practical Applications of Anomaly Detection: Fraud Detection, Intrusion Detection, and System Health Monitoring
⢠Performance Metrics for Anomaly Detection
⢠Real-world Challenges and Best Practices in Anomaly Detection
⢠Hands-on: Building an Anomaly Detection System using Python and Machine Learning Libraries
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