Unsupervised Learning
Computer Science · University of Applied Sciences · Machine Learning
This unit introduces unsupervised learning, a powerful technique for discovering hidden patterns and structures in unlabeled data. Students will learn about clustering, dimensionality reduction, and anomaly detection algorithms, enabling them to extract meaningful insights from complex datasets.
Zum Üben gibt es 59 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Types of Unsupervised Learning
- Clustering Algorithms (e.g.
- k-means
- hierarchical clustering)
- Dimensionality Reduction Techniques (e.g.
- PCA
- LDA)
- Anomaly Detection Methods
- Applications of Unsupervised Learning
- Evaluation Metrics for Unsupervised Learning
Stichworte
- Clustering
- Dimensionality Reduction
- Anomaly Detection
- Unsupervised Learning
- Machine Learning
- Data Analysis
- Pattern Recognition