8.3 due November 28

7.2 due November 19

The thing I didn't understand about this section is why we need to use a distribution Q instead of just sampling uniformly (which I guess is a distribution...) when we are trying to do rejection sampling. I think it is because it speeds things up as it will have fewer rejections than a rectangle would. This section seems like we are learning more of what we just learned. I understand most of it, but I'm not sure I would recognize when I should use any of the techniques in this section.

5.5 due October 29

The hardest thing for me I this section is figuring out when a Poisson distribution would apply. This section felt like doing examples of things from the last section, which is good.

4.2 due October 10

The hardest thing for me in this section is following all the details of actually implementing a search. The general "go here, then here, then here" makes sense, but keeping track of all the stacks and dictionaries and lists is what takes me the most time. I liked the cartoon example of what a depth first search would look like in real life. It both made me laugh and made me think.

ACME Volume 2 2018

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