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ml-recall

#markov-chains

5 questions from Probabilistic & Graphical Models, Generative Adversarial Networks

Timed test

5 questions · 5 min · score and explanations at the end

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Question 1: Short answer

easyAI-checkedProbabilistic & Graphical Models

You observe four weather sequences, each giving consecutive days (day 0, day 1, ...) in a different place:

  1. HOT → HOT → WARM → COLD → WARM
  2. HOT → WARM → WARM → WARM
  3. COLD → COLD → WARM → WARM → WARM → HOT
  4. WARM → HOT → WARM → WARM → WARM → HOT

By counting, estimate the probability that a day is HOT given that the day before was WARM: . Also estimate the probability that day 1 is HOT, across the four sequences: .

Fill in every blank (hints in the boxes). Enter moves to the next blank.