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Bayes Theorem hardly requires any math notation at all. It would literally take you less than a minute to understand conditional probability. Yikes.
by codesushi42 7y ago
Bayes Theorem hardly requires any math notation at all. It would literally take you less than a minute to understand conditional probability.
Yikes.
- bitL 7y agoOh yeah, and the first actually usable form of Bayesian Theorem would be probabilistic graphical models with max-sum algorithm. Good luck mastering that quickly or at all!
- codesushi42 7y agoThat is far from the first usable form of Bayes. I have no idea what point you are making. Bayes Theorem is easily derived algebraically using conditional probability and the chain rule. You can also derive it easily with a Venn diagram. There is barely any notation needed at all here to understand it. If you're struggling with things at that level, it is more likely due to your own laziness, not because the math is hard. Because it is very easy to reason about.
- euroPoor 7y agoChain rule???
- nxpnsv 7y agoI guess some people interested in machine learning doesn’t know about multiplication and division, but i wouldn’t want to depend on their models...
- freehunter 7y agoPossibly true, but just looking at the Wikipedia page for Bayes Theorem, more than half the text on the page is math notation: https://en.wikipedia.org/wiki/Bayes%27_theorem https://en.wikipedia.org/wiki/Bayes%27_theorem It doesn't matter how simple the math actually is, if someone is unfamiliar with mathematical notation it's going to be overwhelming to read.
- codesushi42 7y agoThen learn the notation or find another source. This is a bit like complaining about the existence of books because you never learned how to read.