How difficult is applied statistics and probability as a minor?
Is it as difficult as math or physics? Or is it more doable?
(3 votes)
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I attended a lecture on machine learning. I suspect there's some overlap, at least regarding likelihood functions (maximum likelihood estimation (MLE), Bayes, etc.). While it's doable, I personally find it a difficult topic. Compared to math and physics, I have no idea how to assess the level. But it always depends on the individual course.
Very difficult for me in any case, since I have no practical connection
We have modules like Statistical Modeling, Likelihood Inference, and Generalized Regression. What do you mean by that?
Regression tells me something, it's actually just a formula that has to be applied
It's math, too. It won't be easy.
We have modules like Statistical Modeling, Likelihood Inference, and Generalized Regression. What do you mean by that?
Mathematics is generally challenging; there are no truly easy topics. But with hard work, it's certainly doable.
You shouldn't underestimate it, and theory doesn't necessarily have to be harder. There are people who prefer theory.
Yes, it certainly won't be easy, but it can't be as difficult as a normal math module, can it? It also teaches practical skills, so I think it will be more pragmatic and not just completely theory-heavy.