Support Vector Machine 3.6 - SVM Basis Functions/ClipID:44087 previous clip next clip

Recording date 2022-10-16

Course

Machine Learning for Engineers I

Lecturer

Prof. Dr. Björn Eskofier

Via

Studon

Language

English

Organisational Unit

Lehrstuhl für Maschinelles Lernen und Datenanalytik

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Format

lecture

Type

university lecture

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Support Vector Machine 3.7 - Intro to Kernel Trick
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Support Vector Machine 3.9 - SVM Hard and Soft Margin
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Support Vector Machine 3.10 - SVM Regression
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Support Vector Machine 3.11 - SVM Summary
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