Contact Us

Give us a call or drop by anytime, we endeavor to answer all inquiries within 24 hours.


Find us

PO Box 16122 Collins Street West Victoria, Australia

Email us /

Phone support

Phone: + (066) 0760 0260 / + (057) 0760 0560

Loading Events

« All Events

  • This event has passed.

Seminar: Machine Learning for Spatio-Temporal Problems

May 3, 2021 @ 5:00 pm - 6:00 pm

Or Cohen, Lyft

Machine Learning for Spatio-Temporal Problems

May 3, 2021, 5pm:

Join Zoom Meeting 



Machine learning is used widely at Lyft. A few examples include predicting where and when ride requests will happen, predicting travel time between two locations or predicting the probability for a passenger to cancel his/her ride. Such applications of machine learning are one of the key factors that differentiate Lyft from traditional taxi companies. In this talk, I will present a few of these use-cases in detail. I will describe the unique challenges that come when applying machine learning for such spatio-temporal problems, in which the main features are location (e.g. where the passenger is) and time (e.g. when the ride is requested). I will describe the different techniques for discretizing these variables, which models work best for such problems and what challenges still remain.



Or Cohen is Staff Data Scientist at Lyft focusing on ETA (Expected Time of Arrival). He has a PhD in statistical physics.



May 3, 2021
5:00 pm - 6:00 pm
Event Category: