Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
functions to transform nonlinear data into a higher-dimensional space where it becomes linearly separable. We discussed SVM regression, including the use of epsilon-insensitive loss and slack variables to handle non-linear regression. We discussed the advantages and disadvantages of using SVMs,