Lecture

Linear Regression: Basics and Estimation

In course

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Description

This lecture covers the fundamentals of linear regression, focusing on the basics of unsupervised learning, dimensionality reduction, and the estimation and inference process. The instructor explains how to solve linear regression problems using least squares and matrix notation.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_bbo35eyu

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Statistical hypothesis testing

Data collection: Statistical sampling

Mathematics

Algebra: Linear algebra

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