- It builds strong intuition for handling unlabeled data.
- Covers clustering math and algorithm design.
- Prepares you for anomaly detection, feature extraction, and PCA.
- Bridges to advanced research or applied ML pipelines.
- Boosts readiness for AI fields requiring unsupervised methods.
