Lecture

Machine Learning Basics

Description

This lecture introduces the basic principles of machine learning in the context of digital humanities. Topics covered include supervised and unsupervised learning techniques, analysis of diverse data types, and linear regression. The course also explores the concepts of loss function, empirical risk, and linear model training.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_dfj1kae2

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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