Interested to Buy Any Domain ? << Click Here >> for more details...
Name and describe three different kernel functions and in what situation you would use each.
- 1 Answers
- 6 Views
- LinkedIn, I also Faced
- E-Mail Answers
Answer Posted / Ranbir
1. Linear Kernel: This is the simplest kernel function, where it calculates the dot product of vectors. It's used when the data can be linearly separated or for finding similarities between vectors. n2. Polynomial Kernel (Polynomial degree p): It maps the original input space into a higher dimensional feature space to better separate non-linearly separable data. n3. Gaussian RBF Kernel: This kernel function defines a Gaussian distribution around each training point, measuring similarity based on distance. It's widely used in Support Vector Machines (SVM) due to its ability to handle complex and noisy data.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
No New Questions to Answer in this Category !! You can
Post New Questions
Answer Questions in Different Category
