3 Kaggle alternatives for collaborative data science

What’s the best way to get a good answer to a tough question? Ask a bunch of people, and make a competition out of it. That’s long been Kaggle‘s approach to data science: Turn tough missions, like making lung cancer detection more accurate, into bounty-paying competitions, where the best teams and the best algorithms win.

Now Kaggle is rolling into Google, and while all signs point to it being kept as-is for now, there will be jitters about the long-term prospects for a site with such a devoted community and an an idiosyncratic approach.

To read this article in full or to leave a comment, please click here

from InfoWorld Big Data http://ift.tt/2m2tqMX