Cold start is a hard problem for recommendations. It probably shows what’s popular in the nearby locations and/or matching demographics. Why’s it not normal?
Cold start is a hard problem for recommendations. It probably shows what’s popular in the nearby locations and/or matching demographics. Why’s it not normal?
Did those using tutor AI spend less time on learning? That would have been worth measuring
Bad headline. Should have titled as ‘AfD is better at promotion on tiktok’ or something of that sort
This is probably makes a good case for open sourcing all governing algorithms
Very true because the relationship they have with laptop manufacturers will ensure windows domination
Can we donate darth vader costume to Afghan women? :D
He’ll just need to travel to work to the starbucks near his home because reasons
Nah, chrome will block “intrusive” ads to maximise Google’s revenue
Technically, buying a vehicle isn’t mandatory
You’re right, there’s no point in general public following these news. When a lab publishes such, it’s meant for other researchers. The other researchers can try to build upon. It might become useful or as an inventor put it - discover a thousand ways of how not to do it.
When you see big numbers reported but see the deployed improvements in single digits, that’s coz the big number improvement gets deployed many years later.
I borrowed it from an acquaintance on Internet :D
Where’s I pirate coz it’s way more convenient?
Ah, I thought you were talking about p-values - which is just a simple metric and gets a bad rep from being used for statistical significance. Statistical significance certainly is trash.
The statistical method is not flawed. Many scientific communities are misinterpreting or abusing it - thats the problem.
Why would that be possible? Wouldn’t the developer have their server rejected any calls from “unsigned” apps?