Lecture Machine Learning

This repository contains information for the course machine learning held in the master program Informatik in den Ingenieurwissenschaften at the University of Applied Sciences Berlin. This is work-in-progress. The structure, style, and concept of the lecture was heavily inspired by the data science lecture of Christina Kratsch (https://chkra.github.io/ds-lecture/) and parts of the documentation were simply copied.

Structure of the Repository

The repository is based on the Jekyll template Minimal Mistakes by Michael Rose. All technical folders originate from the template with possibly minimal aesthetic adjustments (e.g., code syntax highlighting). There is a helpful cheat sheet for Minimal Mistakes.

The following folders contain the content:

• /lectures contains the entry pages and overviews for the theoretical content of the weekly lessons.
• /modules contains folders that are thematically separated into different topics. A weekly lesson can encompass several modules.
• /workshops contains practical tasks and materials for the weekly on-site group work.

Generating Page Content

This page was created with Jekyll. The generated content is checked in. To prepare on a system that requires a current version of Ruby, execute the following:

# install gem manager, may need sudo
gem install bundler

# install all requirements listed in Gemfile
bundle install

To build and serve the solution, execute the following commands:

# build all pages
bundle exec jekyll build
# or build and serve all pages at a local webserver
bundle exec jekyll serve

Copyright

All rights reserved | 2024 | KI Werkstatt @ HTW Berlin / CK.