These last couple sections have been pretty interesting, in that it's neat how randomness can help us approximate things like integrals and irrational numbers with computers, even though computers struggle with such precise calculations. I found rejection sampling to be particularly interesting. It makes sense that samples outside the distribution and subtracting them could be used to approximate the difference between the area of two curves, but I wouldn't think it to be blatantly obvious.
As interesting as this material is, it's surrounded by some very intimidating equations, theorems, and definitions. I really don't know how much of it I need to understand for this section, and how much I can just accept and move on.
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