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lecture-26Logistic Regression

lecture-26Logistic Regression

陈傲天
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Attaching probabilities to linear classifiers: why would we want to? why would we use the logistic transform to do so? More-than-binary logistic regression. Maximizing the likelihood; Newton's method for optimization. Generalized linear models and generalized additive models; testing GLM specifications with GAMs.
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