• How can K-fold cross-validation be used to search for an optimal tuning parameter?
  • How can this process be made more efficient?
  • How do you search for multiple tuning parameters at once?
  • What do you do with those tuning parameters before making real predictions?
  • How can the computational expense of this process be reduced?