CS 445 Machine Learning Exam 2 Review

Fall 2020

Exam Logistics

This exam is an open book, open notes, closed Internet exam. This exam is to be completed on your own with no collaboration with others. The exam, once started, needs to be completed within 2 hours. The exam questions will be supplied in Canvas. Anything that might be easier for you to draw can be drawn by hand (or on your computer) and attached to your Canvas submission.

Exam Topics

In general, the topics that are fair game for this exam are:
  • The exam will focus on topics/learning objectives from week 6 to Week 8, but may ask you to compare/contrast models/techniques from earlier in the semester.
  • Any topic/concepts within the labs, homeworks, and PAs
  • Any topic from the assigned reading in the book
  • Any numpy or python idea from the assigned review and numpy videos
Be able to discuss and compare/contrast the strengths and weaknesses of all models we have learning in this class (see the exam review 1 sheet for a list of potential points of comparison). Questions from the textbook that might be helpful for the exam:
  • 4.6, 4.7, 4.8, 4.9
  • 4.12 (quick refresher for KNN)
  • 3.1 - 3.8 (only worry about entropy, skip anything with GINI)