This episode introduces the architecture of unsupervised learning — where models learn from unlabeled data without predefined outputs.

Key topics:

• Unlabeled data: Learning without explicit targets.

• Pattern discovery: Identifying hidden structures in data.

• Clustering overview: Grouping similar data points.

• Dimensionality reduction: Understanding data in lower dimensions.

This episode builds the foundation for all unsupervised learning techniques in Unit 5.

Series: Mindforge ML

Produced by: Chatake Innoworks Pvt. Ltd.

Initiative: MindforgeAI