Monte Carlo: Markov Chains

In course

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Description

This lecture covers the concepts of unsupervised learning, the curse of dimensionality, SVD, low-rank estimation, and PCA. It also delves into more conceptual aspects of dimensionality reduction and introduces the use of Monte Carlo Markov Chains.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ub6hogdg

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Algebra: Linear algebra

Information engineering

Data science: Dimensionality reduction

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