Lecture

Uniform convergence and No-Free-Lunch theorem

In course

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Description

This lecture covers the concepts of uniform convergence, loss functions, and the No-Free-Lunch theorem in machine learning. It explains the challenges of evaluating the performance of classifiers and the implications of the No-Free-Lunch theorem in the context of learning algorithms.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_w9hqr34f

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