Flexibility of Models & Bias-Variance Trade-Off

In course

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Description

This lecture explores the trade-off between model flexibility and bias-variance, focusing on error decomposition, polynomial regression, KNN, and the curse of dimensionality. It delves into underfitting, overfitting, and the importance of minimizing reducible error.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_muor48za

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis, Cross-validation

Statistical inference: Mathematical statistics

Mathematics

Algebra: Linear algebra

Geometry: Euclidean geometry

Information engineering

Data science: Dimensionality reduction

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