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I am revisiting my notes and re-watching lectures about basic machine learning algorithms like linear regression and logistic regression.

I am implementing these algorithms, so I need to understand a lot of the details. Here are some notes, which are work in progress: https://notabug.org/ZelphirKaltstahl/machine-learning-notes/... I try to write it in a way, that does not leave open questions and will be accessible to me and hopefully others years later.



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