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ML 8: Gradient Descent for Logistic Regression
brandon
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2023년 8월 9일
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1. Gradient Descent Implementation
The formula for gradient descent for logistic regression is the same as that for linear regression.
Extra. Derivation
The base of the log could be e, which makes the derivation much easier.
The base does not matter, because f(x) value is either 0 or 1, so the cost function graph change due to the base is minimal.
brandon
everything happens for a reason
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이전 포스트
ML 7: Cost Function for Logistic Regression
다음 포스트
ML 9: The Problem of Overfitting
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