Logistic Regression: Maximum Likelihood Estimation

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Description

This lecture covers the concept of logistic regression and focuses on maximum likelihood estimation. It explains the properties of the likelihood function and demonstrates how to express the ML estimator. The lecture also discusses the chain rule and shows how to calculate the ML estimator step by step.

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Instructor

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Official source

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Logistic Regression: Maximum Likelihood Estimation

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