The SVM Model
Machine Learning · Further Education · Supervised Learning
This unit introduces the Support Vector Machine (SVM) model, a powerful technique for supervised learning. Students will learn the concepts behind SVM, including hyperplanes, margin maximization, and kernel functions, and explore its applications in classification problems.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to SVM
- Linear SVM
- Non-linear SVM
- Kernel Functions
- SVM Optimization
- Applications of SVM
Stichworte
- SVM
- Hyperplane
- Margin
- Kernel
- Classification
- Support Vectors
- Duality
- Optimization