Support Vector Machine 3.8 - SVM Types of Kernels/ClipID:44089 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

Up next in Chapter

Support Vector Machine 3.9 - SVM Hard and Soft Margin
Eskofier, Björn
Prof. Dr. Björn Eskofier
2022-10-16
Studon
Support Vector Machine 3.10 - SVM Regression
Eskofier, Björn
Prof. Dr. Björn Eskofier
2022-10-16
Studon
Support Vector Machine 3.11 - SVM Summary
Eskofier, Björn
Prof. Dr. Björn Eskofier
2022-10-16
Studon
Principal Component Analysis 4.1 - Intuition
Eskofier, Björn
Prof. Dr. Björn Eskofier
2022-10-16
Studon
Principal Component Analysis 4.2 - Mathematics 1
Eskofier, Björn
Prof. Dr. Björn Eskofier
2022-10-16
Studon

More clips in this category "Technische Fakultät"

18 - Artificial Intelligence I
2024-12-12
Free
public  
9 - Grundlagen der Elektrotechnik III
2024-12-13
IdM-login
protected  
11 - Halbleitertechnik II - CMOS Technik (HL II) WS2024/2025
2024-12-12
Passwort / Studon
protected  
18 - Algorithmen und Datenstrukturen (für Medizintechnik)
2024-12-12
Studon
protected  
9 - Sensorik VL9: Weg- und Bewegungsmessung 1
2024-12-11
Studon
protected  
18 - Grundlagen der Elektrotechnik I
2024-12-12
IdM-login
protected