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

Dmitry Pechyoni
Senior Data Scientist, Microsoft

Dmitry Pechyoni is a senior data scientist in the Cloud AI Group at Microsoft, where he works on building end-to-end data science solutions in various domains, including retail, energy management, and predictive maintenance. Previously, he built machine learning models for display advertising Akamai and MediaMath. Dmitry holds a PhD in theoretical machine learning from the Technion – Israel Institute of Technology.

Sessions

13:30–17:00 Tuesday, 9 October 2018
Recurrent neural networks for time series forecasting
Models and Methods
 Location: Buckingham Room - Palace Suite
Secondary topics:  Deep Learning models, Financial Services, Temporal data and time-series
Yijing Chen (Microsoft), Dmitry Pechyoni (Microsoft), Angus Taylor (Microsoft), Vanja Paunic (Microsoft)
Average rating: ***..
(3.67, 3 ratings)
Buisnesses use forecasting to make better decisions and allocate resources more effectively. Recurrent neural networks (RNNs) have achieved a lot of success in text, speech, and video analysis but are less used for time series forecasting. Join Yijing Chen, Dmitry Pechyoni, Angus Taylor, and Vanja Paunic to learn how to apply RNNs to time series forecasting. Read more.