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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โข Anomaly Detection Overview
โข Types of Anomalies: Point, Contextual, Collective
โข Supervised, Unsupervised, and Semi-supervised Learning Methods
โข Time Series Anomaly Detection
โข Machine Learning Algorithms for Anomaly Detection: SVM, KNN, Random Forest, Isolation Forest, Autoencoders
โข Evaluation Metrics for Anomaly Detection: Precision, Recall, F1-score, ROC-AUC
โข Real-world Applications of Anomaly Detection: Fraud Detection, Intrusion Detection, Network Monitoring
โข Tools and Libraries for Anomaly Detection: Python, R, Scikit-learn, TensorFlow, KNIME
โข Ethical Considerations in Anomaly Detection: Bias, Fairness, Privacy
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