Using events based data architecture for near real time, machine learning, time-series predictionBigData и машинное обучение

Доклад принят в программу конференции
Nir Malbin

Nir is an applied researcher at Gett where he is researching and developing artificial intelligence algorithms for an on-demand transportation market.


Gett is using events based data architecture, collecting millions of records per minute. In this talk i shall describe how we built, using this data, an end-to-end machine learning solution for predicting the company KPI's in near real time.

Machine Learning

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