Just sayin'.
500 karma · joined October 21, 2008
Just sayin'.
KGs are great for data integration because they are naturally composable. If you have two data sources represented as graphs, and their node identifiers are in the same range (ie, they have been reconciled), and their edge labels are mapped to the same schema, then you can combine them just by taking the union of all their triples.
This works across different vertical domains -- for instance, you can create a joint film + music KG just by unioning all the triples from a film KG and a music KG, as long as you've mapped the node identifiers to a common namespace (eg Wikipedia). You can then do cross-vertical queries like soundtracks for Will Smith movies, etc.
In other words, the gains shown by this model are coming from leverage, not from the underlying asset. Leveraged investments always return more, but with higher risk. That's true in the housing market as well as the stock market.
But damn, California ... time to put that wealth-transfer tax for the old, rich, landed elite to bed already.
"Off-Topic: Most stories about politics, or crime, or sports, unless they're evidence of some interesting new phenomenon. Ideological or political battle or talking points. Videos of pratfalls or disasters, or cute animal pictures. If they'd cover it on TV news, it's probably off-topic."
Off-Topic: Most stories about politics, or crime, or sports, unless they're evidence of some interesting new phenomenon. Ideological or political battle or talking points. Videos of pratfalls or disasters, or cute animal pictures. If they'd cover it on TV news, it's probably off-topic.
And again, I didn't think HN was a forum for debating these sorts of political / cultural issues in the first place. What does this have to do with science, technology, or startups?
In any case, there appears to be many overheated claims around this event, with precious little context. This was a voluntary event, where both minority and white students were allowed to go off-campus for discussions around "identity politics";
https://evergreen.edu/multicultural/day-of-absence-day-of-pr...
Beat the market by 10% with k-means clustering and a feature set derived from companies and chemical elements! Hahahaha no.
Put simply, all code has bugs. How can Etherium ever work in practice at scale?