Eigenvalues and EM Algorithm

In course

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Description

This lecture covers the computation of eigenvectors, finding the second principal component, likelihood variables, EM algorithm steps, Jensen's inequality, concave functions, and maximizing lower bounds in the context of probability distributions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_k72yi6q1

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Algebra: Linear algebra

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