SVM Intro

less than a minute

Geometric Intuition💡

⭐️We have two classes of points (e.g. Cats 😸vs. Dogs 🐶) that can be separated by a straight line.

👉 Many such lines exist !

💡SVM asks: “Which line is the safest?”

Highway 🛣️ Analogy

💡Think of the decision boundary as the center-line of a highway 🛣️.

SVM tries to make this highway 🛣️ as wide as possible without hitting any ‘buildings’ 🏡 (data points) on either side.

Support Vectors

The points that lie exactly on the edges of the highway are the Support Vectors.

Goal

🎯Maximize the width of the ‘street’ (the margin) to ensure the model generalizes well to unseen data.

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