Timeline for Do Parameters optimization more feasible for industrial purpose than academic?
Current License: CC BY-SA 4.0
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| when toggle format | what | by | license | comment | |
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| Dec 28, 2019 at 17:13 | comment | added | AAA | Thanks a lot again yang, your comments are very helpful | |
| Dec 28, 2019 at 8:55 | history | edited | Thyrix Yang | CC BY-SA 4.0 |
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| Dec 28, 2019 at 8:49 | history | edited | Thyrix Yang | CC BY-SA 4.0 |
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| Dec 28, 2019 at 8:29 | history | edited | Thyrix Yang | CC BY-SA 4.0 |
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| Dec 27, 2019 at 21:37 | comment | added | AAA | Yang, thanks a lot. I would appreciate if you also comment about the scenario in industries. I have no experience about industry and I made just a wild guess that hyperparameter tuning is more important to industries because they have just a couple of datasets, so the huge processing time hyperparameter optimization needed will not matter while on the other hand, if tuning increases the accuracy even a bit, it will be more effective for them. Regards | |
| Dec 27, 2019 at 4:26 | history | edited | Thyrix Yang | CC BY-SA 4.0 |
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| Dec 27, 2019 at 4:12 | history | answered | Thyrix Yang | CC BY-SA 4.0 |