Fitting an SVM Model
Machine Learning · Further Education · Supervised Learning
This unit introduces the concept of Support Vector Machines (SVMs) and provides a step-by-step guide to fitting an SVM model to data. Students will learn about the theory behind SVMs, different kernel functions, and how to evaluate the performance of SVM models.
Zum Üben gibt es 51 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to SVMs
- Linear SVMs
- Nonlinear SVMs
- Kernel functions
- Fitting SVM models
- Evaluating SVM models
- Applications of SVMs
Stichworte
- SVM
- Hyperplane
- Margin maximization
- Support vectors
- Classification
- Regression