Given the Answer to The Question of the Universe is 42, would the computation of The Question be classified as supervised learning because we’re given the answer beforehand or unsupervised learning because we’re given a datapoint and have to figure out The Question though the pattern of the universe?
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I am not familiar with this, please expound about the 42!
I would say “None of the above” or “Answer cloudy, ask again later”. In the famous case you reference (from Hitchhiker’s Guide), we are given the answer, but we’re not doing the training. That happened previously and we have no visibility into how the computer became as smart as it is to compute that answer.
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Thanks @TMosh
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To paraphrase then, I guess without more information / training data we don’t really know for sure. Thanks for the insight and response, Paul!
-Mac
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I spend a lot more time these days learning my machines (my chain saw is in pieces on my workbench at the moment) than my machine learning so probably I am overlooking something obvious, but can I infer the type of learning from the type of answer? That is, I can easily conjure a supervised learning algorithm that outputs a single integer prediction like 42. But I cannot think of unsupervised algorithms that would do the same.
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