RUS Lena Volzhina: How to combine physical models, ML and production performance / #PiterPy

How to combine physical models, machine learning and production performance We all use weather forecasts to choose the right clothes, to wash the car in time or to plan a vacation. But how many people know how forecasts are calculated under the hood? Weather forecasting is a difficult task: the data from weather stations located worldwide, weather radar and even satellites are used. To process these data, clusters with hundreds of thousands of cores are required to calculate the physical models of the atmo