Mindforge ML | Unit 4 – Podcast 04_Title: Support Vector Machines and the Margin Principle

Support Vector Machines introduce margin-based classification thinking.

This episode explores hyperplanes, margins, support vectors and the kernel trick — building geometric intuition behind SVM.

Key topics:

• Hyperplane: Decision boundary in multi-dimensional space.

• Maximum Margin: Improving generalization.

• Soft vs Hard Margin: Handling imperfect separation.

• Kernel Trick: Transforming non-linear data.

This episode strengthens conceptual understanding of optimization-based classification.

Series: Mindforge ML

Produced by: Chatake Innoworks Pvt. Ltd.

Initiative: MindforgeAI