This repository contains the Jupyter notebooks which I've written for the lecture 401-2684-00L Mathematics of Machine Learning held at ETH Zürich by Afonso Bandeira and Nikita Zhivotovskii in Spring 2021.
Cloning the repository: The easiest way is to clone the entire repository and to run the notebooks locally.
Using Google Colab: If you have a Google (Gmail) account, you can click here to open and run the Jupyter notebooks. After opening the page, login with your Google account and click on “Connect” on the top-right corner of the page. Now, you can execute the code cells by clicking on the small play button next to the snippets.
Using Binder (no account needed): Navigate to Binder. Next, copy-paste the following URL next to “GitHub” and click “Launch”: https://github.com/cglanzer/simulations-for-mathematics-of-machine-learning. It will take a while for Binder to download the repository. As soon as this is completed, you can select one of the notebooks and run and play around with the code.