Support Vector Machines
Back to Home
01. Intro
02. Which line is better?
03. Minimizing Distances
04. Error Function Intuition
05. Perceptron Algorithm
06. Classification Error
07. Margin Error
08. (Optional) Margin Error Calculation
09. Error Function
10. The C Parameter
11. Polynomial Kernel 1
12. Polynomial Kernel 2
13. Polynomial Kernel 3
14. RBF Kernel 1
15. RBF Kernel 2
16. RBF Kernel 3
17. SVMs in sklearn
18. Recap & Additional Resources
Back to Home
04. Error Function Intuition
SVM 03 Error Function V1
Pause
Play
% buffered
00:00
00:00
Unmute
Mute
Disable captions
Enable captions
Settings
Captions
zh-CN
Quality
undefined
Speed
Normal
Captions
Go back to previous menu
Disabled
zh-CN
ZH-CN
en
EN
pt-BR
PT-BR
Quality
Go back to previous menu
Speed
Go back to previous menu
0.5×
0.75×
Normal
1.25×
1.5×
1.75×
2×
Exit fullscreen
Enter fullscreen
Play
Next Concept