Masterclass Certificate in Anomaly Detection and Analytics
-- ViewingNowThe Masterclass Certificate in Anomaly Detection and Analytics is a comprehensive course that equips learners with essential skills for identifying and analyzing unusual patterns and outliers in data. In today's data-driven world, anomaly detection is a critical skill that is in high demand across various industries, including finance, healthcare, cybersecurity, and manufacturing.
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โข Introduction to Anomaly Detection and Analytics
โข Understanding Data Patterns and Baseline Establishment
โข Time Series Anomaly Detection
โข Supervised Learning Approaches for Anomaly Detection
โข Unsupervised Learning Techniques in Anomaly Detection
โข Semi-Supervised Learning for Anomaly Detection
โข Machine Learning Algorithms in Anomaly Detection (e.g., One-Class SVM, Local Outlier Factor, Isolation Forest)
โข Deep Learning Methods in Anomaly Detection (e.g., Autoencoders, Variational Autoencoders)
โข Evaluation Metrics and Model Selection in Anomaly Detection
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