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

Summary of Advanced Machine Learning

Summary of Reliable and Trustworthy Artificial Intelligence

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

Summary of Probablistic Artificial Intelligence

Collection of theorems of Randomized Algorithm & Probabilistic Methods

Summary of Natural Language Processing

This project contains all latex files and repo hooks, that I used to write my PhD dissertation! The template was passed on by generations of PhDs. Thanks to DHahn for passing it to me.

Cheatsheet for Computational Statistics at ETH Zürich (FS22)

Some summaries for lectures of the RW/CSE curriculum

Summary for Datastructures and Algorithms (252-0002-00L, 252-0002-AAL) Course at D-MATH (CSE) of ETH Zürich, Spring Semester 2020

Material I created as TA at ETHZ for the course "Theoretische Informatik"

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

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

ETHz Robotic Dynamics CheatSheet

Cheatsheet for Probabilistic AI at ETH Zürich (HS22)

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

Zusammenfassungen ETH Informatik HS18