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Slides for CAS ML course

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CAS Data Science - Machine Learning slides

WARNING: Slides are still work in progress, as they will be used the first time in HS22.

This repository contains my slides for the "Machine Learning" subject at CAS Data Science.

Slides

The current slides are hosted on github pages: https://benikm91.github.io/cas_machine-learning-slides

Technology

Illustrations

Most illustrations used in the slides are hand-made to make them consistent throughout the slides. They are created in Jupyter Notebooks in the code-examples/plots folder.

Reveal.js

I use reveal.js mixed with Angular for the slides. Why not use Power Point? Because programming is way more fun :)

Development

Install

Run npm i to install all packages.

Serve

Run npm run serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.

Build

Run npm run build to build the project. The build artifacts will be stored in the dist/ directory.

Debug Bundle Size

ng build --stats-json

webpack-bundle-analyzer dist/cas-ml-slides/stats.json

About

Slides for CAS ML course


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Language:Jupyter Notebook 97.1%Language:Pug 1.6%Language:TypeScript 0.9%Language:TeX 0.1%Language:SCSS 0.1%Language:HTML 0.1%Language:JavaScript 0.0%Language:Shell 0.0%