The script introduces some basic concepts of mathematical optimisation, explains gradient descent and also introduces the use of regularised optimisation in ML.
I'm not sure if the full script fits into the available time of the workshop. I had some ideas how to explain the topic in my mind and wanted to write this down.
The content could be placed before @mikolajr's introduction into classification methods and also would replace or simplify parts of @chadhat's deep learning scripts.
Feedback is very welcome!