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Unfortunately there is something called the no free lunch theorem. Puts a significant constraint on using machine learning for real-life prediction.
by yters 16y ago
Unfortunately there is something called the no free lunch theorem. Puts a significant constraint on using machine learning for real-life prediction.
- Groxx 16y agoTo that end, I propose a new acronym: The TISATATTANSTAAFLT (pronounced: "tiz-a tat tan staa fult") The "There Is Such A Thing As The There Ain't No Such Thing As A Free Lunch" Theorem.
- tel 16y agoThen again, all ML eventually is used for real-life prediction, so you ought to be able to buy a lunch if you really want one. The GA here is a fun start that'll introduce a training algorithm; there are plenty of gradient-aligned steps forward.
- yters 16y agoSure, I'm just saying ML, just like its forebear AI, doesn't live up to the hype. Lunch is very expensive.
- tel 16y agoProbably true. I'm not a big fan of the term ML due to the hype associated with it. Statistics however, which is pretty near the same thing most of the time, has proven itself quite often.
- user24 16y agoYou never know until you try ;)
- yters 16y agoVery true. I try jumping off of cliffs all the time cuz this time I might just fly!
- user24 16y agoRight. I'll just give up then. It's a good job no-one wasted time trying to apply machine learning to speech recognition, cuz there's no free lunch you know. Or handwriting recognition. Or housing prices. Or game strategies. Thanks for letting us know that there's no point searching for a solution via ML. Phew!
- deleted 16y ago[deleted]