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When Machine Learning meets Food Delivery Startups: Ruby Sample Code

37 pointsby smhchanover 11 years ago

5 comments

gniquilover 11 years ago
So I just looked at the quick start demo code. Did everyone notice the irony in it? We created some fake people and some fake orders and randomly let the people see the fake orders. Then we try to predict based on this data. A bit silly isn&#x27;t it?<p>But anyway, the whole thing seems pretty cool.
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berberousover 11 years ago
I wish Seamless would innovate more. Recommended restaurants or meals would be awesome. Seamless has a total lock on the NYC market, but their website sucks, their ratings are highly unreliable (due to restaurants faking ratings), and they rarely add new features.
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jeffasingerover 11 years ago
This is cool. I may try to do this (food ordering predictions) for my startup, with real data if I get some free time.
pnachbaurover 11 years ago
Is this entirely an open source project, or are there plans to do something like Keen.io?
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jalayirover 11 years ago
Get a dabbawalla