Introduction to Machine Learning Methods
- Start Date:
- June 7, 2025
- City:
- Tehran
- Region:
- Africa, Americas, Asia & Oceania, Europe
- Description:
- 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**
- Targeted Audience:
- Weather forecasters and operational meteorologists interested in applying ML to forecasting/Researchers and scientists in meteorology and climate aiming to integrate ML into modeling or data analysis./Graduate students and early-career professionals in atmospheric sciences or related fields. Technical staff working with NWP, satellite data, or big datasets in meteorological services./
- Host:
- Tehran-RTC
- Organizer:
- IRIMO
- Format/Training Type:
- Blended Course
- Language:
- English
- Attendance:
- Open
- Qualifications:
Climate Services: Provision of Climate Services
- Contact Name:
- Maryam.ToufaniShahraki
- Contact Email:
- maryam.toufanii@gmail.com
- Fees:
- No
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