This chapter covers Anomaly Detection. You will learn essential concepts and techniques.
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Chapter Contents
- What is Anomaly Detection - Detecting deviations from normal patterns
- Statistical Methods - Z-score, Interquartile Range (IQR)
- Isolation Forest - Utilizing the isolation of anomalous data
- One-Class SVM - Learning the boundary of normal data
- Application Examples - Fraud detection, system monitoring, quality control
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