Support Vector Machines and Kernel Methods
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 theory behind SVMs, including kernel functions, and apply them to real-world problems.
Zum Üben gibt es 109 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
- Applications of support vector machines
- Advantages and disadvantages of support vector machines
Stichworte
- Support Vector Machines
- Kernel Functions
- Classification
- Regression
- Machine Learning
- SVM
- Kernel Trick
- Hyperplane
- Margin
- Support Vectors