Definition and Overview
Machine Learning · Further Education · Supervised Learning
This unit introduces the fundamental concepts of Support Vector Machines (SVMs), a powerful supervised learning algorithm used for classification. Students will gain an understanding of the SVM algorithm, its mathematical formulation, and its applications in various domains.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Support Vector Machines
- Mathematical Formulation of SVM
- Hyperplane and Margin Maximization
- Kernel Functions
- SVM Training and Optimization
- Overfitting and Regularization in SVM
- Applications of SVM in Classification
Stichworte
- Support Vector Machines
- Classification
- Hyperplane
- Kernel Function
- Optimization
- Overfitting
- Regularization