CSE/STAT 416, Summer 2019: Exam

Final Exam

After Final Exam

Exam Solution

Regrade Policy

Statistics

  • Mean: 84.38/102 (83%)
  • Median: 85.75/102 (84%)
  • Std. Dev: 10.2

Overview

  • Date: Wednesday, August 21st
  • Time: 9:40 am - 11:50 am
  • Location: GWN 301 (regular room)

The final exam will cover the various topics of machine learning that we have learned this quarter.

You will have the full class period (2 hour and 10 minutes) to complete the exam. You are allowed a single 8.5x11 inch notesheet (both sides) with you during the exam. You should have no electronic devices or any of your own scratch paper on your desk; you should just have your student ID, writing utensils, your notesheet, and the exam. Any violation of these rules will result in a 0 on the entire test.

Review Materials

Here are some review materials that have been put together by past and current course staff. Like with ML, you will want to use good training practices to make sure you properly assessing your understanding of the material. We recommend that you save the practice exam til later in your studying so that you can use it as a un-biased estimate of your test accuracy. When taking the practice exam, try to take it like you would the real exam (i.e. time yourself, try to do the whole thing without breaks our looking at your notes).

Study Strategies

  • Look over slides and do all practice problems (from sections, from practice exam).
  • Make sure you understand the correct responses in concept questions from assignments. You can view these on Gradescope. Post on the discussion board if any are confusing.
  • You should be able to explain for each technique:
    • What types of problems it can be used for
    • How it works (key ideas)
    • Challenges (overfitting, having to choose hyperparameters, etc)
  • Also, you should be able to explain general ML concepts such as overfitting, bias-variance tradeoff, precision/recall, etc. You can practice by pretending you're being asked about these concepts at an interview.