Lecture

Linear Regression: Principles and Applications

In course

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Description

This lecture covers the principles and applications of linear regression, focusing on building a simple model to make suggestions, particularly in the context of suggesting movies based on a user's preferences. The instructor explains the basics of regression, the structure of the model, and how it can be used to make predictions. The lecture progresses through the process of determining parameters, identifying dependencies, and establishing criteria for model evaluation.

Instructors (2)

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Official source

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

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics

Mathematics

Algebra: Linear algebra

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