Question

SVM uses which method for pattern analysis in High dimensional space?
Logistic Regression
Multi-Linear Regression
Kernel
Classification

Answer 1

Answer is ‘Kernel’.

Few more information:

-SVM stands for Support Vector Machine.

-In Machine learning, SVMs are learning algorithms used for regression and classification.

-SVMs perform linear and non-linear classification.

-A set of algorithms called ‘Kernel methods’ are used to implement non-linear classification.

-Kernel trick is helpful to do pattern analysis by mapping inputs in higher dimensional space.

Answer 2

Answer is 'Piece'. - SVM remains for Support Vector Machine. - In Machine learning, SVMs are learning calculations utilized for relapse and order. - SVMs perform straight and non-direct arrangement.

- An arrangement of calculations called 'Portion techniques' is utilized to actualize non-straight grouping.

- Kernel trap is useful to do design examination by mapping contributions to higher dimensional space.