Timeline for Feature selection for Machine learning
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 17, 2016 at 12:44 | comment | added | josh | Yes. Owen Zhang actually suggests adding noise to some features in order to prevent over-fitting. This is in this video youtube.com/watch?v=LgLcfZjNF44 at around 39:55. | |
| Aug 17, 2016 at 8:50 | answer | added | muni | timeline score: 0 | |
| Aug 17, 2016 at 6:23 | comment | added | Arun Jose | This question is rather broad and expecting an answer to this will only be based on personal opinion. Suggest you focus on a specific problem and explain why noise would be useful in that scenario. | |
| Aug 17, 2016 at 5:25 | review | First posts | |||
| Aug 17, 2016 at 7:00 | |||||
| Aug 17, 2016 at 5:22 | history | asked | Gaurav | CC BY-SA 3.0 |