Timeline for How to choose a machine learning algorithm [duplicate]
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Jan 22, 2017 at 13:04 | history | closed |
Sycorax♦ Michael R. Chernick John Haitao Du Peter Flom |
Duplicate of How to choose between learning algorithms | |
| Jan 22, 2017 at 2:49 | comment | added | Kodiologist | You should spend a lot of time learning the basics of statistics and machine learning before embarking on a project of this scope. Machine learning isn't just a programming paradigm or something—it's a field unto itself. | |
| Jan 22, 2017 at 1:52 | review | Close votes | |||
| Jan 22, 2017 at 13:04 | |||||
| Jan 22, 2017 at 1:35 | comment | added | gung - Reinstate Monica | Realistically, this is too broad to be answerable, but I can make a couple of general points. 1) There typically isn't a 'best' ML approach that can be picked from your head. People try different things, & spend a lot of time working & thinking about the problem. People typically start w/ what they feel most comfortable w/. 2) Are you sure there's really much signal in your data? ML algorithms aren't magic; they just try to extract the signal that's there (there has to be a signal for that to work). There probably are some predictive buzzwords, but I doubt you'll get much from this. | |
| Jan 22, 2017 at 1:25 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
removed tag; formatted
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| Jan 22, 2017 at 1:25 | comment | added | Sycorax♦ | Possible duplicate of How to choose between learning algorithms or stats.stackexchange.com/questions/120337/… or stats.stackexchange.com/questions/35704/… | |
| Jan 22, 2017 at 1:20 | answer | added | ᴀʀᴍᴀɴ | timeline score: 1 | |
| Jan 22, 2017 at 1:05 | review | First posts | |||
| Jan 22, 2017 at 1:35 | |||||
| Jan 22, 2017 at 1:04 | history | asked | user1454024 | CC BY-SA 3.0 |