Unsupervised Learning
Computer Science · University of Applied Sciences · Artificial Intelligence
This unit introduces unsupervised learning, a type of machine learning where algorithms learn from unlabeled data. Students will explore clustering and dimensionality reduction techniques, gaining a foundation for analyzing and extracting insights from complex datasets.
Zum Üben gibt es 53 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Unsupervised Learning
- Clustering Algorithms (e.g.
- k-means
- hierarchical clustering)
- Dimensionality Reduction Techniques (e.g.
- PCA
- LDA)
- Applications of Unsupervised Learning
- Evaluation and Interpretation of Unsupervised Learning Results
Stichworte
- Clustering
- Dimensionality Reduction
- Unsupervised Learning
- Machine Learning
- Data Analysis
- Algorithms