Timeline for What can unsupervised learning actually be used for and how can humans interpret the outputs?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Apr 2, 2023 at 17:55 | comment | added | Stef | "It can be based on the melody, tempo, and dynamicity of the song, etc." More realistically, recommender systems are usually based on what other users like. If I like songs A and B, and most people who like songs A and B also like song C, then the recommender system is going to recommend song C to me, no matter its melody or tempo. | |
| Feb 2, 2023 at 9:34 | comment | added | CommunityBot | Your answer could be improved with additional supporting information. Please edit to add further details, such as citations or documentation, so that others can confirm that your answer is correct. You can find more information on how to write good answers in the help center. | |
| Feb 1, 2023 at 23:12 | comment | added | nbro | I'm not sure if recommender systems are the best examples of applications of unsupervised learning, unless you consider RL and bandits unsupervised learning, which some people do. Anomaly detection is a good example of a problem that can be solved by unsupervised learning techniques, but you can also use supervised techniques for anomaly detection. | |
| S Feb 1, 2023 at 10:35 | review | First answers | |||
| Feb 2, 2023 at 9:34 | |||||
| S Feb 1, 2023 at 10:35 | history | answered | Václav Struhár | CC BY-SA 4.0 |