Some tips given out to ease learning.

Question 1

Question 2
What is reinforcement learning? Briefly explain how it differs from supervised learning.

Q2: Why Use Those Two Points Specifically?

In this specific case, you cannot choose arbitrary points. The exam instructions explicitly state to "Use the last two samples from the dataset" to perform the calculations.

The student followed this by selecting the values from the final rows of Table 2:

  • ID 4: x = 5.5 (Feeling Anxious: 1)
  • ID 5: x = 6.0 (Feeling Anxious: 0)
1. Compliance with Instructions

The prompt requires you to show mathematical calculations for deriving coefficients using those specific samples. Using different IDs (like 1 or 2) would result in a loss of marks for failing to follow the constraint.

2. Solving for Two Unknowns

The linear component of the model z = a0 + a1x has two unknowns. To solve for these, you need two distinct data points:

  • They established two z values: 4.61 and -4.60 based on the assumption that Probability (1) ≈ 0.99 and Probability (0) ≈ 0.01.
  • They calculated the slope (a1) using the formula: a1 = (4.61 - (-4.6)) / (5.5 - 6.0).

Only focusing those that seem like Chapter 3 - 5 (coverage for test)

Q4 - Trimester 2, 2017/2018 [5 Mar 2018]

Q2 - Trimester 1, 2018/2019 [25 Oct 2018]

Question

Summary of Topic