11–13 of 13 posts
We did a presentation in Strata SF 2019 last week which detail could be found at https://conferences.oreilly.com/strata/strata-ca/public/sche... . The slide could be found at https://www.slideshare.net/taofung/strata-sf-amundsen-presen... .
Would someone mind explaining how ML models are used in the real world? In this case Lyft has users, trips, points of interest (destinations). What would they create a model for? How would it improve driver/rider experience? I've gone through a few TensorFlow tutorials, but still can't grok what the appropriate use-case is. Edit: I really appreciate the responses @tedsanders and @theossuary - thank you so much! Not s…
I received an offer from Lyft last year to do data science. Here are some potential use cases of machine learning for a taxi company: -Predicting wait times -Predicting the best route -Predicting where to send drivers before requests come in -Predicting demand so that you can surge price predictively -Predicting what assets/requests to prefetch to the phone and when -Predicting when drivers will churn and what tactic…