• A compact summary of the contents of "Statistical Machine Learning"

• Structured as a script with 6 chapters. Each subchapter has the corresponding lecture number in the contents page

• Created for: Summer semester 2025

• Last update on: 05/09/2025

• Language(s): English

Post exam review: was not that helpful, was mainly a sanity check to make sure i'm using statements/equations correctly. The overall structure isn't bad, though.

Disclaimer: as with all other cheatsheets, please do not take the publication of this cheatsheet as a recommendation to use its contents. The idea behind this is to provide a reference point or a source of inspiration.

• A document briefly explaining the relation between PCA (Principle Component Analysis) and EVs (Eigenvectors) as used in Dimensionality Reduction

• Created for: Summer semester 2025

• Last update on: 05/09/2025

• Language(s): English