3 ms·
> currently ML/AI requires us to know what the possible answers can be before we even begin training the network Isn't that what unsupervised learning is for?
by 01100011 6y ago
> currently ML/AI requires us to know what the possible answers can be before we even begin training the network
Isn't that what unsupervised learning is for?
- bcrosby95 6y agoI took it more to mean that, e.g., when solving for 1+1 it won't be allowed to answer "tomatoes".
- HarHarVeryFunny 6y agoThere's no such thing as truly unsupervised learning - any machine learning algorithm is defined by some guidelines you've provided (or built-in) for what output it has to generate. For example, you might think of data clustering as an unsupervised problem, but in reality you're still providing supervision in terms of what similarity measure to use and some control over how many clusters it should generate; and, at the end of the day, the output is always going to be a set of clusters, not, say, a stock tip or wry comment on the nature of your data!