Logistic Regression: Probability Mapping

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Introduces the basics of supervised learning, focusing on logistic regression, linear classification, and likelihood maximization.

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Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

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Covers logistic regression, likelihood function, Newton's method, and classification error estimation.

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