Certificate in Anomaly Detection for Tech Professionals
-- ViewingNowThe Certificate in Anomaly Detection for Tech Professionals is a comprehensive course designed to equip learners with essential skills in identifying and addressing anomalies in data systems. This course is critical for tech professionals working with large data sets, as anomalies can indicate fraud, operational issues, or security threats.
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⢠Anomaly Detection Overview
⢠Types of Anomalies: Point, Contextual, Collective
⢠Supervised, Unsupervised, and Semi-supervised Learning Methods
⢠Time Series Anomaly Detection
⢠Machine Learning Algorithms for Anomaly Detection: SVM, KNN, Random Forest, Isolation Forest, Autoencoders
⢠Evaluation Metrics for Anomaly Detection: Precision, Recall, F1-score, ROC-AUC
⢠Real-world Applications of Anomaly Detection: Fraud Detection, Intrusion Detection, Network Monitoring
⢠Tools and Libraries for Anomaly Detection: Python, R, Scikit-learn, TensorFlow, KNIME
⢠Ethical Considerations in Anomaly Detection: Bias, Fairness, Privacy
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