Chapter 3: Anomaly Detection

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This chapter covers Anomaly Detection. You will learn essential concepts and techniques.

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Chapter Contents

1. What is Anomaly Detection - Detecting deviations from normal patterns
2. Statistical Methods - Z-score, Interquartile Range (IQR)
3. Isolation Forest - Utilizing the isolation of anomalous data
4. One-Class SVM - Learning the boundary of normal data
5. Application Examples - Fraud detection, system monitoring, quality control

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