SVM

Support Vector Machine

Classical supervised algorithm finding maximum-margin separating boundary.

When you'd see it: Classical machine learning, especially with smaller, well-structured datasets and clear classification problems.

Why it matters: An SVM separates classes by finding the boundary with the widest margin between them. On small to mid-size structured data it is often accurate and hard to beat, without the cost of deep learning.