LOA 1

  • Due Feb 11, 2022 at 11:53am
  • Points 0
  • Questions 11
  • Available Feb 11, 2022 at 11am - Feb 11, 2022 at 11:53am 53 minutes
  • Time Limit 50 Minutes

Instructions

You will get credit for any question that you answer correctly or very nearly correctly. You do not need to attempt all the questions, but I would recommend attempting as many of them as possible and prioritize the ones about which you feel most confident.

Remember that by the end of the semester (inclusive of the final), you need to accrue credit for a specific number of questions to meet the criteria of a given grade bundle. All grade bundles require that you earn credit for at least one question that assesses each topic we cover this semester. Each question is labeled with the topic it assesses. Here is a list of all the topics we'll cover this semester for your convenience:

Topics

  1. search
  2. uninformed search
  3. informed search
  4. constraint satisfaction problems (CSPs)
  5. adversarial search
  6. machine learning
  7. k-Nearest Neighbors
  8. decision trees
  9. advanced machine learning topics
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