Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Unsupervised learning: Young-Eckart-Mirsky theorem and intro to PCA
Description
This lecture covers the Young-Eckart-Mirsky theorem, which is essential in unsupervised learning, and introduces Principal Component Analysis (PCA) as a method for dimensionality reduction and data visualization. The slides discuss the theorem, PCA concepts, and the application of PCA in various fields.
Official source
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.