반응형 complexity1 [Classification 2] 3. Classification algorithms - SVM( SUPPORT VECTOR MACHINE ): Non-linear SVM – Kernel trick Content Introduction to supervised learning approach Data split in supervised learning Classification algorithms KNN & distance measures Decision tree Random Forest, Ensemble approach SVM 3. Classification algorithms - SVM( SUPPORT VECTOR MACHINE ) SVM: Content 1. Linear SVM 2. Linear SVM: non-separable case 3. Non-linear SVM – Kernel trick 3.18 Non-linear SVMs 선형으로 분리 가능한 데이터셋에 약간의 잡음이 있을 때, 선형.. 2024. 4. 22. 이전 1 다음 반응형
