ml874 / data-science-cheatsheet Goto Github PK

I think if I am to understand these correctly, there are a few things that could perhaps do with some minor tweaks:

• Under variability, it might be of some use to note that this is a sample and not a population standard deviation
• For discrete distributions, it is more accurate to refer to P(X=x) as their PMF, rather than PDF
• I believe the power law distribution is typically thought of as a continuous, not discrete distribution

heaps.png missing in Figures folder.

Download as PDF in full resolution will be a very nice and appreciate feature 🙏

Hi, I was looking at the 1st page of your cheatsheet on Bayes Theorem. Is there a typo on the Bayes Theorem definition?

P(A|B) = P(B|A)P(B)/P(A)

I believe it should be

P(A|B) = P(B|A)P(A)/P(B)

https://en.wikipedia.org/wiki/Bayes%27_theorem

Hello! Great cheatsheet!

I wonder if there are any translations efforts, and if not, is that something you are interested in?

Thanks

PS.: I'd love to work on a pt-br translation 😉