PiterPy 2019 / Aleksandr Tolmachev: Revenue timeseries auto forecast models with boost and DL / Saint Petersburg, Russia / 1 November 2019

Aleksandr Tolmachev: Revenue timeseries auto forecast models with boost and DL

Description

Revenue timeseries auto forecast models with boost and DL

- mathematics of forecast complex time series dependencies

- architectures for time series forecasting

- ensamble methods in time series forecast



Aleksandr Tolmachev
Perm, Russia
Head of Data Science
Xsolla

Aleksandr Tolmachev. Head of Data Science in Xsolla company. HSE ML courses lector, Perm IT-University coordinator, "Coursera" data analysis mentor. More than 5 years Bank worker. All my time spend to work with data such as classic statistical modeling, analytics applications, BI reports and ML algorithms.

Share
Add to calendar
Organizer
Coorganizer
Wargaming - silver sponsor
DELL TECHNOLOGIES - silver sponsor
CINDICATOR - silver sponsor
Selectel - silver sponsor
EPAM - silver sponsor
Partners
TRAVEL SPONSORS
Hashtag
#PiterPy
Event in socials
Contacts
Irina Saribekova
+7 (921) 903-45-17
irina@it-events.com

Congratulations!

You've successfully subscribed for news.