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.
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