Why do we use kernels in SVM?

Related questions

1. What is one vs all classification?
2. Can we use SVM for regression?
3. How do you do multi label classification?
4. What is cross validation machine learning?
5. What is StandardScaler?
6. What kernel is used in SVM?
7. What is min max normalization?
8. Why do we standardize data?
9. What is SVC in SVM?
10. What is split validation?

Tags

1. #input
2. #kernel
3. #these
4. #linear
5. #basis
6. #nonlinear
7. #mathematical
8. #required
9. #function
10. #defined
11. #algorithms
12. #functions
13. #different
14. #example
15. #sigmoid
16. #types
17. #radial
18. #transform
19. #polynomial