Unsupervised learning
Finding structure in data with no labels.
- Clustering in practice
- Dimensionality reduction
- Manifold learning
- Density estimation
- Matrix factorization
- Topic models
- Anomaly detection
- Independent component and source separation
- Classical representation learning
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