Support Vector Machines
Bachelor of Science in Computer Science · University · Machine Learning
This unit introduces Support Vector Machines (SVMs), a powerful machine learning algorithm for classification and regression. Students will learn the model formulation, kernel functions, and applications of SVMs.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to SVMs
- Linear SVMs
- Nonlinear SVMs
- Kernel Functions
- SVM Training and Optimization
- SVM Applications
- Overfitting and Regularization in SVMs
Stichworte
- SVM
- Classification
- Regression
- Hyperplane
- Support Vectors
- Margin
- Overfitting
- Regularization