Unsupervised Learning
Cloud Computing · Further Education · Cloud Artificial Intelligence and Machine Learning
This unit introduces unsupervised learning, a powerful technique for discovering hidden patterns and structures in unlabeled data. Students will learn about various unsupervised learning algorithms, including clustering, dimensionality reduction, and anomaly detection.
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Das gehört dazu
- Introduction to Unsupervised Learning
- Clustering Algorithms (e.g.
- k-means
- hierarchical clustering)
- Dimensionality Reduction Techniques (e.g.
- PCA
- LDA)
- Anomaly Detection Algorithms
- Applications of Unsupervised Learning
- Evaluation of Unsupervised Learning Algorithms
Stichworte
- Clustering
- Dimensionality Reduction
- Anomaly Detection
- Unsupervised Learning Algorithms
- Machine Learning
- Data Analysis
- Pattern Recognition