5.1, due on October 20

Until now, I hadn't thought about the fact that probability problems become counting problems when all outcomes of length one have equal probability. I had used that fact to solve problems, but didn't realize what I was doing.

I'm excited to use probability and statistics to understand machine learning algorithms from a mathematical perspective.

In class I'd like to talk about when to use permutations and when to use combinations, when solving these equal-weight probability problems. I feel like it's still not clear to me which is used in what cases.

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