Unsupervised Learning
Data Science · University of Applied Sciences · Artificial Intelligence
This unit introduces unsupervised learning, a fundamental technique in AI and Data Science. Students will explore various unsupervised learning algorithms, including clustering and dimensionality reduction, and their applications in real-world scenarios.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Unsupervised Learning
- Clustering Algorithms (K-Means
- DBSCAN
- Hierarchical Clustering)
- Dimensionality Reduction Techniques (PCA
- SVD)
- Anomaly Detection
- Market Segmentation
- Applications of Unsupervised Learning in AI and Data Science
Stichworte
- Clustering
- Dimensionality Reduction
- K-Means
- PCA
- Hierarchical Clustering
- SVD