Linear Regression and Logistic Regression

In course

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Description

This lecture covers linear regression, including the loss function, training, overfitting/underfitting, sensitivity, and regularization. It also delves into logistic regression for binary classification, with a focus on the logistic loss function and minimizing the loss function during training.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_dimjji7c

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Ontological neighbourhood

Statistics

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Information engineering

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Theoretical computer science

Programming language theory: High-level programming languages

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