Support Vector Machines
Data Science · Further Education · Machine Learning Algorithms
This unit introduces Support Vector Machines (SVMs), a powerful supervised learning algorithm used for classification and regression. Students will learn the fundamental concepts of SVMs, including hyperplanes, kernel functions, and optimization techniques.
Zum Üben gibt es 56 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Support Vector Machines
- Linear Support Vector Machines
- Nonlinear Support Vector Machines
- Kernel Functions
- Optimization Techniques for SVM
- Overfitting and Underfitting in SVM
- Applications of SVM
Stichworte
- Support Vector Machines
- Hyperplane
- Classification
- Regression
- Optimization
- Overfitting
- Underfitting