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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

Forecasting at Uber: Machine learning approaches

Andrea Pasqua (Uber)
14:35–15:15 Wednesday, 10 October 2018
Models and Methods
Location: Windsor Suite
Secondary topics:  Deep Learning models, Temporal data and time-series

What you'll learn

  • Explore machine learning approaches Uber uses to forecast time series of business relevance

Description

Andrea Pasqua investigates the merits of using deep learning and other machine learning approaches in the area of forecasting and describes some of the machine learning approaches Uber uses to forecast time series of business relevance.

Photo of Andrea Pasqua

Andrea Pasqua

Uber

Andrea Pasqua is a data science manager at Uber, where he leads the time series forecasting and anomaly detection teams. Previously, Andrea was director of data science at Radius Intelligence, a company spearheading the use of machine learning in the marketing space; a financial analyst at MSCI, a leading company in the field of risk analysis; and a postdoctoral fellow in biophysics at UC Berkeley. He holds a PhD in physics from UC Berkeley.

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Comments

| SOFTWARE DEVELOPER
16/10/2018 14:55 BST

Thanks for a good talk! looking forward to the slides as well, are they being put up on the slides page? https://conferences.oreilly.com/artificial-intelligence/ai-eu/public/schedule/proceedings

Zaher Sharifi | ANALYTICS LEAD
11/10/2018 22:47 BST

Thank you. kindly, share the slides with us
Thanks

Andrea Pasqua |
11/10/2018 14:40 BST

Thank you very much. Let me find out where to upload the slides.

Andrew Soler |
11/10/2018 10:48 BST

Best talk of the day, in my opinion. Where can I get the slides from please?