Lecture

Machine learning: Basics of data-driven materials modeling

In course

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Description

This lecture covers the basics of data-driven materials modeling, focusing on dimensionality reduction and linear regression. Topics include machine learning concepts, model training, testing, and generalization error analysis. The instructor explains the importance of inputs, samples, targets, models, and loss functions in the context of materials science.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_lmt43znw

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Computer engineering

Software development: Software development process

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