A

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Q. The kernel trick

  • (A) can be applied to every classification algorithm
  • (B) a and d
  • (C) changes ridge regression so we solve a d × d linear system instead of an n × n system, given n sample points with d features
  • (D) exploits the fact that in many learning algorithms, the weights can be written as a linear combination of input points

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