Unsupervised Learning
Information Technology · University of Applied Sciences · Artificial Intelligence
This unit explores unsupervised learning, a type of machine learning where algorithms learn from unlabeled data. Students will gain an understanding of clustering, dimensionality reduction, and anomaly detection algorithms.
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Das gehört dazu
- Types of Unsupervised Learning Algorithms
- Clustering Algorithms (e.g.
- k-means
- hierarchical clustering)
- Dimensionality Reduction Techniques (e.g.
- PCA
- LDA)
- Anomaly Detection Algorithms
- Applications of Unsupervised Learning in Different Industries
- Evaluation Metrics for Unsupervised Learning Algorithms
Stichworte
- Clustering
- Dimensionality Reduction
- Anomaly Detection
- Machine Learning
- Unsupervised Learning
- Algorithms
- Data Analysis
- Pattern Recognition