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Logistic Loss
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Summary
Logistic Loss is like a game where you try to guess if something is true or false. The closer your guess is to being right, the lower your score, and you want a low score to win the game.
Concepts
Binary Classification
Probability Estimation
Sigmoid Function
Gradient Descent
Overfitting
Regularization
Cross-Entropy
Relevant Degrees
Operational Research 70%
Probability and Statistics 30%
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