Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

Summaries and study materials I've written over the course of my studies at ETH Zurich

Cheatsheets for various subjects from the BSc in Computer Science at ETH Zurich

Exam summary for Computational Intelligence Lab, ETH Zurich, SS16

ETH Zürich report titlepage designed with the LaTeX xcoffins package.

Cheatsheet for the Large Language Models course at ETH Zürich (FS23)

Some summaries for lectures of the RW/CSE curriculum

Cheatsheet for Computational Statistics at ETH Zürich (FS22)

Lecture notes for Probabilistic Graphical Models for Image Analysis, ETH Zurich fall 2018

Cheatsheet for Reliable & Trustworthy AI at ETH Zürich (HS23)

Minimal Working Beamer Template for ETH Presentations in Metropolis Style

Cheatsheet for Probabilistic AI at ETH Zürich (HS22)

Cheatsheet for Introduction to Machine Learning at ETH Zürich (FS22)

Project for the FEAML course, Spring 2019

Data Mining: Learning from Large Data Sets

Exam summary for Computational Intelligence Lab, ETH Zurich, SS16

Presentation for the Advanced Topics in Machine Learning seminar, Fall 2019

-ETH Zurich Ph.D. thesis template is valid for 2021

My summary for the course 252-0028-00L from the FS21 taught at ETH