Thursday, April 17, 2008

Final

The final is worth 25 points (+7 bonus points), covering the lectures after the midterm. The following lectures will not be covered:
  • Nearest neighbor methods (covered by the final assignment)
  • Prediction bounds (the last lecture before the midterm)
  • Large-scale learning (exponentiated gradient, VW), but the standard gradient method may be covered.
If necessary, the final will be curved.