Documentation of the VU Hands on Machine Learning
=================================================

This is the documentation of the
`VU 2.0 ECTS Hands on Machine Learning <https://base.uni-ak.ac.at/courses/2023S/S04593/>`_
course at the University of Applied Arts Vienna (short: dieAngewandte). This is the
first (and experimental) iteration of this course, starting in summer term 2023.

Refer to the session chapters to follow up on what we did in the specific
sessions, and check out the general references section for further material.


.. toctree::
   :maxdepth: 2
   :caption: Contents:

   session1
   session2
   session3
   session4
   session5
   session6
   session7
   session8
   session9
   session10
   references
   grading


This documentation was produced with `Sphinx <https://www.sphinx-doc.org>`_,
the *Python Documentation Generator*. Sphinx itself is written in Python and can
be installed with ``pip install sphinx``. Additionally, for this specific docs,
also the `MyST Parser <https://myst-parser.readthedocs.io>`_ is used in order
to write the section files in `Markdown <https://commonmark.org/>`_.
`linkify-it-py <https://myst-parser.readthedocs.io/en/latest/syntax/optional.html#linkify>`_
is used so that URLs are automagically converted to links. For the theme I am
relying on the good old ``sphinx_rtd_theme``, which is used by many open source
projects for their documentation on `readthedocs.io <https://readthedocs.io>`_.
This is extended by ``sphinx_rtd_dark_mode``, so that readers get the option
to switch between a light and dark mode (see the round button with the moon/sun
symbole in the lower right corner of the browser tab). Theme related links can
be found in the footer..

The source of this documentation, including the sphinx config used to generate
this output, is available under a CC-BY-SA 4.0 license on
https://gitlab.com/jackieklaura/hands-on-machine-learning