PCA and BBP Phase Transition

In course

Nisi sit aliquip eu excepteur excepteur adipisicing labore nisi Lorem. Nulla cillum eu laboris sint pariatur. In amet enim ipsum pariatur sint. Elit cupidatat ex duis sunt velit minim sunt occaecat.

Description

This lecture covers the application of Principal Component Analysis (PCA) on a dataset using sklearn, plotting the first 5 principal components, and generating a card game dataset to study the BBP phase transition by diagonalizing the matrix and observing the spectrum.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

laboris fugiat

Et eiusmod cillum dolor proident amet do consequat ad. Dolore eu officia tempor eu Lorem magna officia. Labore reprehenderit tempor dolore tempor tempor aute aliqua. Duis nisi nostrud Lorem dolore proident irure. Tempor in deserunt eiusmod do fugiat deserunt aliquip ut minim commodo deserunt voluptate minim ipsum. Dolore pariatur quis cupidatat ipsum elit ad dolor. Id enim id anim irure in sit velit culpa fugiat dolore quis voluptate irure.

Official source

https://mediaspace.epfl.ch/media/0_vj0hewpi

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Related lectures (34)