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Lesson 14 of 20 · Learning from Examples
Unsupervised learning in depth
Unsupervised learning finds structure in unlabeled data. K-means clustering groups similar data points. PCA reduces dimensionality for visualization.
- K-means clusters similar data points.
- PCA reduces data dimensions for analysis.
Think about it
What is a loss function?