Answer Posted / Vinod Rai

The kernel trick is a technique used in Support Vector Machines (SVM) to transform high-dimensional, non-linearly separable data into a higher dimensional space where separation becomes possible through the use of a linear classifier. By using kernels such as Gaussian or polynomial kernels, SVMs can effectively handle complex patterns and relationships in the data.

Do you have research experience in machine learning?

154

Tell us do you have research experience in machine learning?

224

Tell me what are the last machine learning papers you've read?

292

What are standardization and normalisation? Give one advantage of each over the other?

149