Global Certificate in Anomaly Detection for the Modern Workplace
-- ViewingNowThe Global Certificate in Anomaly Detection for the Modern Workplace is a comprehensive course designed to equip learners with the latest skills in identifying, analyzing, and mitigating cybersecurity threats. This course is essential for professionals seeking to advance their careers in the rapidly evolving cybersecurity industry.
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โข Introduction to Anomaly Detection in the Modern Workplace
โข Understanding Normal and Abnormal Data Behavior
โข Types of Anomaly Detection: Supervised, Unsupervised, and Semi-supervised Learning
โข Machine Learning Algorithms for Anomaly Detection: Isolation Forests, One-Class SVM, Local Outlier Factor
โข Time Series Anomaly Detection: Seasonal Decomposition, Autocorrelation Function, and Exponential Smoothing State Space Model
โข Deep Learning Approaches to Anomaly Detection: Autoencoders and Generative Adversarial Networks
โข Implementing Anomaly Detection in Cloud-based Systems: AWS, Azure, and Google Cloud
โข Real-world Applications of Anomaly Detection: Fraud Detection, Network Security, and System Health Monitoring
โข Ethical Considerations and Bias Mitigation in Anomaly Detection
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