Content deleted Content added
m →physical neural networks: Capitalize sub-section title's first letter |
Maxeto0910 (talk | contribs) →Approaches: +link in caption |
||
Line 82:
{{Anchor|Algorithm types}}
[[File:Supervised_and_unsupervised_learning.png|thumb|upright=1.3|In [[supervised learning]], the training data is labelled with the expected answers, while in [[unsupervised learning]], the model identifies patterns or structures in unlabelled data.]]
Machine learning approaches are traditionally divided into three broad categories, which correspond to learning paradigms, depending on the nature of the "signal" or "feedback" available to the learning system:
* [[Supervised learning]]: The computer is presented with example inputs and their desired outputs, given by a "teacher", and the goal is to learn a general rule that [[Map (mathematics)|maps]] inputs to outputs.
| |||