Will Kurt 6/13/2019

Logistic Regression from Bayes' Theorem

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This technical article demonstrates how logistic regression can be derived from Bayes' theorem. It explains the relationship between prior probabilities, likelihoods, and the logistic function, aiming to provide a deeper understanding of this common machine learning and statistics tool. The post uses mathematical notation to show the connection between linear models, probability, and classification.

Logistic Regression from Bayes' Theorem

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