Support Vector Regression - in Comparison to Linear Regression [Lecture 3.6]
Автор: AMILE - Machine Learning with Christian Nabert
Загружено: 2021-01-30
Просмотров: 26332
Описание:
"How to use the support vector machine for regression problems? Why it is different to linear regression?"
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Part 1: Support Vector Machines - Main Ideas!
• Support Vector Machines - Main Ideas! [Lec...
Part 2: Training of Support Vector Machines
• Support Vector Machines - Main Ideas! [Lec...
Part 3: Derive the Dual Formulation for Support Vector Machines
• Derive the Dual Formulation for Support Ve...
Part 4: Kernel Trick for Support Vector Machines
• Kernel Trick for Support Vector Machines [...
Part 5: Soft Margin for Support Vector Machines
• Soft Margin for Support Vector Machines [L...
Part 6: Support Vector Regression - in Comparison to Linear Regression
• Support Vector Regression - in Comparison ...
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The support vector machine (SVM) is used for classification problems. This approach can be transferred to tackle regression problems as well. This leads to the support vector regression (SVR). This model is compared to linear regression.
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