WEEK 09

PROGRESS: 1 / 8

MACHINE LEARNING // CLUSTERING [ACTIVE SESSION]

SUMMARY // WHAT WE LEARNED

🔍 Unsupervised Learning: No ready answers — we search for patterns ourselves.
🎯 K-Means: Clustering based on mathematical proximity.
🌳 Hierarchical Clustering: A tree that reveals similarity between groups.
📖 Grimm Brothers' Fairytales: Practical exercise analyzing semantic clusters of similar stories.
💡 Key Questions: Princesses vs. monsters? Can the computer find the groups by itself?

CORE MATERIALS

BONUS MATERIALS