Q. The kernel trick (Solved)
1. can be applied to every classification algorithm
2. is commonly used for dimensionality reduction
3. changes ridge regression so we solve a d ?? dlinear system instead of an n ?? n system, given nsample points with d features
4. exploits the fact that in many learning algorithms, the weights can be written as a linearcombination of input points
- d. exploits the fact that in many learning algorithms, the weights can be written as a linearcombination of input points