ALGORITHMS FOR PROCESSING AND ANALYSIS OF DATA USED IN THE SYSTEM OF PERSONALIZED RECOMMENDATIONS FOR SELECTING A WARDROBE INCLUDING WEATHER FORECASTS

This article discusses data processing algorithms used to analyze large amounts of information and generate accurate forecasts in personalized recommendation systems used in the field of weather forecasting. The methods of machine learning and statistical analysis, their advantages and disadvantages are considered. The prospects of introducing intelligent algorithms into modern weather forecasting systems are analyzed.