Lecture

Linear Regression: Basics

Description

This lecture introduces linear regression as one of the simplest problems in machine learning, focusing on finding the best fitting hyperplane through a set of points by minimizing the error. The training phase involves optimizing the parameter Omega, while the test phase uses Omega to predict the output Y for new points.

In MOOC

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_34ngr8vn

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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