Scaling Machine Learning at Uber with Michelangelo

I love what Uber does with machines (ML), hate what it (currently) does to people.<p>We recently potted some models from Stan to Pyro (SVI on PyTorch), and it’s been reallly exciting (except for the dark corner of poutines), it really has the performance of something being used in production, except the occasional nan explosion.<p><i>edit</i> we are lazy and use our GitLab CI&#x2F;CD to drive model development iteration. It’s not as fully featured as what’s in the article but it’s a zero effort start.

This is not a product, nor is it open sourced - so this is basically just a PR stunt. Or am I missing anything??

It&#x27;s kinda funny they tout their usage of GPS. I use Uber on a near daily basis and drivers by an large use Google maps. They have out right said &quot;Uber sucks for directions&quot;<p>And if you use express pools it will always say to go the wrong side of an intersection. I like uber because of the drivers, but their fancy technology is flawed.