Lecture

Linear Regression Basics

In course

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Description

This lecture introduces the basics of linear regression, a fundamental concept in machine learning. The instructor covers topics such as supervised learning, model training, loss functions, and evaluation metrics. Through examples and demonstrations, students learn how to fit a line to data, evaluate model performance, and understand key concepts like mean squared error and mean absolute error.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_7n4gzw95

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Information engineering

Data science: Topics in data science

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