Isolation Forests
Machine Learning · Further Education · Unsupervised Learning
This unit introduces Isolation Forests, an anomaly detection algorithm that builds a forest of decision trees to identify isolated data points. Students will learn the concepts, applications, and implementation of Isolation Forests for detecting anomalies in various domains.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Isolation Forests
- Building an Isolation Forest
- Evaluating Isolation Forests
- Applications of Isolation Forests
- Comparison with Other Anomaly Detection Algorithms
Stichworte
- Isolation Forests
- Anomaly Detection
- Decision Trees
- Unsupervised Learning
- Fraud Detection
- Network Intrusion Detection
- Outliers
- Data Mining
- Machine Learning