> And to be fair, a neural net is just a bunch of linear models joined by a non-... | Hacker News

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		username90 on Nov 24, 2020 \| parent \| context \| favorite \| on: You might not need machine learning > And to be fair, a neural net is just a bunch of linear models joined by a non-linearity. Nobody did this before computers though. > . In that case, it's essentially stacked logistic regression, which was invented before computers. It isn't "basically logistic regression", it is just a technique which uses logistic regressions. The full technique is ML. If you remove the ML parts it is basically just logistic regression left though.

disgruntledphd2 on Nov 24, 2020 | [–]

Like, logistic regression uses a non-linearity to convert the outputs to the 0-1 scale. How does that differ from a one layer neural network?

I think this would probably be a more profitable discussion if you could define Machine Learning for me.

dryrunes on Nov 24, 2020 | [–]

Is logistic regression not ml? Or maybe only if it's fit with gd?

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