Description
This four-day course focuses on machine learning for numerical weather prediction (NWP). This will include:
- an overview on the use of machine learning in Earth Sciences,
- the introduction into the most important machine learning methods that are relevant for Earth Sciences,
- the introduction into software and hardware frameworks at ECMWF to facilitate the use of machine learning,
- and examples for the use of specific machine learning tools across the weather and climate prediction workflow and how they can be prepared for use in operational predictions.
Taught the lessons on:
- Neural Networks
- Data Validation
- Hyper-parameter optimization
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