Lecture

Overfitting, Cross-validation & Regularization

In course

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Description

This lecture covers the concepts of model complexity, overfitting, and the importance of cross-validation and regularization in machine learning. It explains the impact of different strategies on model performance and provides insights into handling nonlinear data through techniques like k-Nearest Neighbors and polynomial curve fitting.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ketk4c8l

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