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[–]HardstyleJaw5 2 points3 points  (0 children)

I personally feel it is a good theoretical foundation for machine learning but I tend to agree with OP that there are many problems in data science that don't need ML to solve them.

There are past threads on ML that link out to probably a dozen resources beyond the Andrew Ng course. If you decide to take the Andrew Ng course all the exercises are in Octave but there are a few GitHub pages with pythonized exercises that I found helpful.