Global Certificate in Anomaly Detection: Advancing Data Science
-- ViewingNowThe Global Certificate in Anomaly Detection: Advancing Data Science is a comprehensive course that equips learners with essential skills to identify and respond to unusual patterns or outliers in data. This certification emphasizes the importance of anomaly detection in various industries, including finance, cybersecurity, healthcare, and manufacturing.
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โข Introduction to Anomaly Detection in Data Science <br> โข Types of Anomalies: Point Anomalies, Contextual Anomalies, Collective Anomalies <br> โข Anomaly Detection Techniques: Statistical Methods, Machine Learning Algorithms, Deep Learning Approaches <br> โข Supervised, Unsupervised, and Semi-Supervised Learning in Anomaly Detection <br> โข Time Series Anomaly Detection: Seasonality, Trends, and Patterns <br> โข Evaluation Metrics for Anomaly Detection: Precision, Recall, F1 Score, ROC Curve, AUC <br> โข Real-World Applications of Anomaly Detection: Fraud Detection, Intrusion Detection, Network Monitoring, IoT Security <br> โข Case Studies and Projects in Anomaly Detection <br> โข Best Practices for Implementing Anomaly Detection Systems in Organizations <br> โข Ethics and Bias in Anomaly Detection: Privacy, Accountability, and Fairness <br>
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