Unsupervised Learning
Technology · General Knowledge · Artificial Intelligence
This unit introduces unsupervised learning algorithms, such as clustering and dimensionality reduction, which identify patterns and structures in unlabeled data. Students will gain an understanding of how these algorithms work and how they can be applied to real-world problems.
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Das gehört dazu
- Types of unsupervised learning algorithms
- Clustering algorithms (k-means
- hierarchical clustering
- etc.)
- Dimensionality reduction techniques (PCA
- LDA
- Applications of unsupervised learning in various domains
- Evaluation metrics for unsupervised learning algorithms
Stichworte
- Clustering
- Dimensionality Reduction
- Unsupervised Learning
- Machine Learning
- Data Analysis
- Pattern Recognition