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Interesting article but rather shallow. Still funny to see Uber also uses classical algorithms and some ML here and there, I mean, what did I expect otherwise?
by Rainymood 8y ago
Interesting article but rather shallow. Still funny to see Uber also uses classical algorithms and some ML here and there, I mean, what did I expect otherwise? Probably some super secret algos no one would know about ... nope, just classical econometrics time series analysis and some ML sprinkled in there.
Gives me hope I could work there one day as an econometrics graduate :)
- dbuder 8y agoYou don't want to work for scum like Uber, aim higher, like a collections agency.
- natalyarostova 8y agoYou absolutely could. I don't work at uber but work at another Big Tech company on a similar team. We have plenty of econometrics grads on our team. Forecasting is pretty resilient to hype methods, since extrapolating into the future is so hard, there is rarely some treasure trove of data to throw into an ML model to predict the future. The biggest drivers of uncertainty in these problems tend to be unforecastable, so data-hungry models don't offer much (depends on the horizon and specific problem, but this is true as a general rule). I'd say my only observation has been economists who also meet the bar as software engineers are a force to be reckoned with.
- deleted 8y ago[deleted]