How would you build a business on something you do not understand well? I've worked with startups who could not get past that 80% barrier you run into with your machine learning algorithms. They didn't know if their data was bad, their algorithm was bad or whatever the issue was because they ere not using data a human could easily conceptualize.
One of the more surprising things about ML is that it can look like it's working, even when there are horrible bugs.
This makes testing even more important than usual, but testing ML systems is even harder than testing normal software, so you're in a shitty place either way.
ML ends up being this sort of bimodal level of difficulty, either it's super easy and everything works without much effort (it happens sometimes), or it doesn't work quite how well you need it to and you should probably be ready to sinks many months into it.
> 80% of all machine learning engineers work at Google or Facebook
there is no authority that says whether or not someone is a machine learning engineer
there is no way to verify or reject this assertion
in reality this is voter intimidation
this is an attempt to suggest that the left and Democrat-leaning companies Google and Facebook have access to intelligent people
in reality, Google and Facebook employees are loud jerks who help filthy rotten Democrats get elected
Google and Facebook are internal enemies of the people of the USA.
To pretend that Google and Facebook have an army of nerds is to suggest that Google and Facebook are little more than the American Communist Party, a group of big egos who have nothing but disdain for American law and who treat Americans as the raw material for an operant conditioning machine.
Sick, twisted, and fucked up. That is what Google and Facebook sell to the American people, twisted, sick, and fucked up shit that it shoved in the face of the Americans 24/7 365 days a year.
6 comments
[ 3.0 ms ] story [ 21.3 ms ] threadAlso the blog/submission title is clickbait and likely an outright lie. From the original article/thoughtpiece (https://www.forbes.com/sites/groupthink/2018/02/09/tradition...) you cite as a source, emphasis mine.
> For example, fully 80 percent of machine learning engineers with Ph.D.s. are scooped up by Google and Facebook, especially those that have patents.
This makes testing even more important than usual, but testing ML systems is even harder than testing normal software, so you're in a shitty place either way.
ML ends up being this sort of bimodal level of difficulty, either it's super easy and everything works without much effort (it happens sometimes), or it doesn't work quite how well you need it to and you should probably be ready to sinks many months into it.
there is no authority that says whether or not someone is a machine learning engineer
there is no way to verify or reject this assertion
in reality this is voter intimidation
this is an attempt to suggest that the left and Democrat-leaning companies Google and Facebook have access to intelligent people
in reality, Google and Facebook employees are loud jerks who help filthy rotten Democrats get elected
Google and Facebook are internal enemies of the people of the USA.
To pretend that Google and Facebook have an army of nerds is to suggest that Google and Facebook are little more than the American Communist Party, a group of big egos who have nothing but disdain for American law and who treat Americans as the raw material for an operant conditioning machine.
Sick, twisted, and fucked up. That is what Google and Facebook sell to the American people, twisted, sick, and fucked up shit that it shoved in the face of the Americans 24/7 365 days a year.