Timeline for When should linear regression be called "machine learning"?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Jan 15, 2018 at 9:19 | comment | added | robguinness | This answer is bogus. Prediction is just one small part of machine learning. Statisticians also do prediction. While it is hard to delineate between machine learning and statistics, but this is definitely not the correct way. | |
| Mar 24, 2017 at 16:54 | comment | added | Richard Hardy | Time series forecasting (prediction of future observation) was long a popular problem in statistics (and econometrics), so I do not agree with a clear distinction based on that. | |
| Mar 22, 2017 at 11:10 | history | edited | ljubomir | CC BY-SA 3.0 |
Clarified that the distinction is predicting future/previously unseen observations, per comment by @Cliff AB
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| Mar 22, 2017 at 11:02 | comment | added | ljubomir | @Tim: very fine argument. I believe the answer is yes if they were focused on future observations, though I acknowledge in those (rare) cases the name statistical learning would be more appropriate. With the advent of computers, the term machine learning became more fashionable. The point is not the name, nor the use of computers; it is the clarity of purpose. In my view, it is almost impossible to successfully optimize both accurate prediction of previously unseen observations, and understanding of the phenomenon. Better to focus appropriately. | |
| Mar 22, 2017 at 10:26 | comment | added | ljubomir | I believe the distinction remains clear if the emphasis is put on predicting future observations. I will edit my answer accordingly. Thanks for your comment @Cliff AB. | |
| Mar 22, 2017 at 8:35 | comment | added | Tim | So what about statisticians that made predictions before computers existed (or were widely available)? Were they applying paper-and-pencil machine learning?! | |
| Mar 21, 2017 at 20:44 | comment | added | Cliff AB | I agree that machine learning research has a much heavier emphasis on predictions over parameter estimation. But that's not a clear dividing line: statistics research is rich with predictive methods. | |
| Mar 21, 2017 at 20:39 | review | First posts | |||
| Mar 21, 2017 at 21:06 | |||||
| Mar 21, 2017 at 20:38 | history | answered | ljubomir | CC BY-SA 3.0 |