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we replaced a vendors "ml" process with an afternoon writing regexes and got better result. seems like a rip off op, I wouldn't buy again.
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May 29, 2019 13:48
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| # ¿ Apr 19, 2024 18:46 |
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poty posted:i read like 50% of the op before work today will get to the rest soon no but if you say you can convincingly enough you'll make a lot of money regardless.
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May 30, 2019 13:56
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to do ml you need lots of data. there are a few types of data: * open source standard image recognition etc data sets. only use this if you are confident your technique is better than the previous attempts. * random free data you can find to download on the internet. this is normally boring stuff like poverty rates in different postal areas or how polluted a river is at different points along its course. skip this stuff unless you're doing a thesis for uni * "free" data which isn't sold as such, but you can scrape from the web. this might how much a phone charger costs on amazon. more interesting but you will need to have some proxies and some dev time to get the data. the cheapest proxies are bot nets or these guys who totally have their endpoints consent https://luminati.io/ * financial data vendors will happily sell you lots of data for lots of money, but everything about the experience will suck. they will all handle edge cases in different ways. there will be bullshit restrictions on how you can use the data (only on one machine, can't make a graph and show it to a client etc) but you can ignore those * the good stuff is the personal behaviour data. this is geolocation (from phones), internet searches and traffic (from free "antivirus"), emails (from email apps and spam removers), credit card transactions (idk exactly how they get this i think it's apps as well). this stuff is all expensive and the vendors are rubbish at delivery. occaisionally they'll gently caress up and send you some non-anonymised data (as though you couldn't work out who spent 8 hours at a school and then 3 at a strip club was if you really wanted to) at which point they'll email you and tell you to delete it and import a new version. might be tricky to get some of this past your ethics committee at uni but it's all legal, even in the EU as it is anonymised. for supervised learning you'll need a training set. outsource this to india for best results. distortion park fucked around with this message at 14:43 on May 31, 2019 |
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May 31, 2019 14:35
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Pinterest Mom posted:is the reason "the outcome you're looking for (presence of cancer) is not the same as outcome you're training on (diagnosis of cancer among women tested)" The outcome you're looking for is improved quality adjusted life years*, and the relationship between that and seeing a tumour in a screen is so complex that you have to measure that, not just if you can find a tumour. *Sometimes just a cost reduction is ok too.
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Jan 5, 2020 09:37
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I had to read that like 5 times before I realised he meant they used the full date and not like day of week or something
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Jun 16, 2020 13:00
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https://twitter.com/osazuwa/status/1274444300894572546?s=19 I had sort of glossed over this the first time but it really does make everyone white lol
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Jun 21, 2020 17:48
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https://twitter.com/JoshuaDummer/status/1280877750245453828?s=19 finally a good use for racist ai,,,,
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Jul 8, 2020 16:57
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https://www.jcwi.org.uk/news/we-won-home-office-to-stop-using-racist-visa-algorithm The Home Office hosed up here by having and "expert" systems type thing which was obviously racist, rather than some black box ml model which was also obviously racist as it used a history of home office decisions to train on, but you could maybe convince a court otherwise
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Aug 5, 2020 06:42
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ultrafilter posted:https://twitter.com/bascule/status/1307440596668182528 The replies to the Simpsons ones where people have done colour,head swaps are kind of interesting. I'd be surprised (not very, but a little) if Twitter had released an algorithm which is as obviously racist as the headline examples make it seem
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Sep 22, 2020 14:13
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Cat Face Joe posted:our very own radio paranoia has gone viral lmao
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Sep 22, 2020 14:26
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https://www.wsj.com/articles/when-the-machines-learn-to-price-gouge-11601281879?redirect=amp#click=https://t.co/BDhFcxs8fsquote:In such markets where both stations appeared to adopt algorithmic software, as estimated by sudden changes in the size and rapidity of price changes, margins increased by an average of almost 30%. Without pricing software at both stations, margins were unchanged. Notably this would be illegal of people were doing it - the computers presumably manage some sort of weird pseudo-communication through their price signals and end up forming a cartel!
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Nov 16, 2020 11:36
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