Script "mathematical_optimisation_in_ml"
The script introduces some basic concepts of mathematical optimisation, explains gradient descent and also introduces the use of regularised optimisation in ML.
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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.
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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!