SVM and the idea of a margin
Separating is not enough: separate with the widest possible gap. That single idea dominated machine learning from the 1990s to the 2010s.
2 steps
110 XP
A free account is needed
Start the lesson →
Sources
- Cortes, C. & Vapnik, V. 1995 · Support-Vector Networks · Machine Learning, 20(3), 273–297
- Boser, Guyon, Vapnik 1992 · A Training Algorithm for Optimal Margin Classifiers · COLT '92
- Hastie, Tibshirani, Friedman 2009 · The Elements of Statistical Learning, Bölüm 12 · Springer
ML Academy · an interactive machine learning course that runs in your browser ·
All lessons