Support Vector Machines
Machine Learning · Further Education · Machine Learning Algorithms
This unit introduces the concept of Support Vector Machines (SVMs), a powerful machine learning algorithm for classification. Students will learn the underlying principles, algorithms, and applications of SVMs, enabling them to effectively use SVMs for real-world data analysis and classification tasks.
Zum Üben gibt es 53 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to SVM
- Linear SVM
- Nonlinear SVM
- Kernel Functions
- SVM Training and Optimization
- SVM Applications
- Overfitting and Regularization in SVM
Stichworte
- SVM
- Classification
- Hyperplane
- Support Vectors
- Overfitting
- Regularization