Lecture

Linear Regression: General Form

In course

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Description

This lecture covers the design matrix and response vector, data centering and standardization, vectorial formulation of linear regression, associated quadratic form and gradient calculation, normal equation and solutions, and the difference between linear and affine regression.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_4ri3qg71

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Mathematics

Algebra: Linear algebra

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