Re:You might not need machine learning
by username90 on Tuesday November 24, 2020 @10:23AM
(#25199252)
> 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.
Re:You might not need machine learning
by disgruntledphd2 on Tuesday November 24, 2020 @02:35PM
(#25202134)
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.
I think that it's important to note here that this was the set of problems that computer science researchers didn't know how to solve.
In the early days, they mostly ended up re-inventing statistical methods.
And to be fair, a neural net is just a bunch of linear models joined by a non-linearity. In that case, it's essentially stacked logistic regression, which was invented before computers.