Introduction to Machine Learning Methods

The increasing wealth of large meteorological datasets from diverse sources including numerical models, remote sensing, and observational networks has increased the necessity to employ data-driven techniques like Machine Learning (ML) methods to improve the quality of weather and climate predictions and analysis and strengthen decision support systems. This workshop aims to introduce fundamental ML concepts and practical methods to the technical staff of meteorological organizations, enabling them to integrate ML approaches into their operational and research activities.
Please email teh.rtc.reg@gmail.com for more information and instructions to apply. **Registration is only through email submission and approval by the Tehran-RTC**