// ◇ Classical Machine Learning
Support Vector Machine
Finds the decision boundary with the widest margin between classes.
支持向量机 1995 Foundational core
IN PLAIN WORDS
The boundary depends only on a few support vectors; the kernel trick yields nonlinear boundaries. Before deep learning it was the workhorse for vision and text classification.
Used in: Text classification, small-data classification
01Original paper
Support-vector networks
Cortes et al. · Machine Learning · 1995
DOI ↗ ✓ Verified · Crossref API doi:10.1007/BF00994018
02Where it sits
Learn the left column first; the right column builds on this one.
Learn first
Then you can learn
- Nothing in the atlas builds on it yet
Related:Perceptron
Left: prerequisites · right: builds on this · dashed: related. Full map →
03Learning resources
Official docs, explainers, courses and reference code. All links checked.
04Where the course teaches it
On learning paths:Zero to Deep Learning
For AI / data
- Verification: verified, checked 2026-10-21.
- JSON: /api/learn/algorithms.json (id:
svm)