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Having not watched the series, I can only assume he means logit as in a probability function from 0 to 1 https://deepai.org/machine-learning-glossary-and-terms
by airstrike 4y ago
Having not watched the series, I can only assume he means logit as in a probability function from 0 to 1
https://deepai.org/machine-learning-glossary-and-terms/logit#:~:text=What%20is%20a%20Logit%3F,rather%20than%20the%20X%2Daxis https://deepai.org/machine-learning-glossary-and-terms/logit....
- PheonixPharts 4y agologit is not a "probability function", quite the opposite. You can see this in the image in the link you posted (the x-axis is from 0-1, the y-axis is from -inf to inf). It transforms probabilities into log odds which is a linear space, and make combining probabilities much nicer. The inverse logit or logistic function takes log odds and transforms them back into probabilities. Most machine learning relies heavily on manipulating probabilities, but since probabilities are not linear, the logit/logistic transformations become essential to correctly modeling complex problems involving probabilities.
- airstrike 4y agoprobability-related* function