Professional Certificate in Anomaly Detection: Best Practices
-- ViewingNowThe Professional Certificate in Anomaly Detection: Best Practices is a comprehensive course that equips learners with essential skills in identifying and addressing anomalies in data. This certificate course is crucial for professionals working in data analysis, cybersecurity, and IT operations, where identifying and responding to anomalies is vital for business success and security.
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โข Introduction to Anomaly Detection
โข Understanding Normal vs. Abnormal Data
โข Types of Anomaly Detection: Supervised, Unsupervised, and Semi-supervised
โข Common Techniques for Anomaly Detection: Statistical, Machine Learning, and Deep Learning Approaches
โข Anomaly Detection Best Practices: Data Preprocessing and Feature Engineering
โข Evaluation Metrics for Anomaly Detection: Precision, Recall, F1-score, and ROC Curve
โข Real-world Applications of Anomaly Detection: Fraud Detection, Network Intrusion Detection, and System Health Monitoring
โข Ethical Considerations in Anomaly Detection: Bias, Fairness, and Privacy
โข Tools and Libraries for Anomaly Detection: Scikit-learn, TensorFlow, and PyTorch
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