Data Science, Linear Algebra, Machine Learning.
as the “kernel space” or “feature space,” without explicitly calculating the feature vectors in that space. This avoids the computational burden of working in high dimensions while still benefiting from the expressiveness of high-dimensional spaces. 3. Kernel Trick: The kernel trick is a