YESS is happy to announce a series of learning activities for members of the community who want to apply Machine Learning methods to their own data and problems.
There is a growing interest in Machine Learning (ML) methods applied to Earth System science. Together with more traditional machine learning methods like classification and regression methods, new techniques like artificial neural networks or causal discovery algorithms are showing to have great potential to solve challenges in our field. Learning to apply these methods would be beneficial for Early Career Researchers (ECRs), this is why YESS is organizing a learning activity to bring together members of our community who want to apply these methods to their own data and problems.
The first activity will be a short webinar series on providing an introduction to ML methods applied to climate and environmental sciences. The first one will be on June 30th at 2pm UTC and the speaker, Dr. Marlene Kretchmer will talk about her work with Machine Learning in Climate Sciences.
If you want to know more about the webinar series and register, click here.
The second activity will be the development of “Learning Groups”. These learning groups are intended to provide ECRs the opportunity of engaging in a guided and collaborative learning process via the participation in small learning groups. Additionally, we expect these groups to allow discussion on the interpretation of the results and the combination of ML methods with physics-based methods.
The learning activities will take place between July and December. The objectives of the learning group activities can be summarized to:
- Learning machine learning fundamentals;
- Learning how to pre-process environmental science data to apply machine learning (ML) methods;
- Build and train a ML (or deep learning) model;
- Evaluate and discuss model predictions and physical interpretation of the ML models with colleagues; and
- Solidify understanding of the above topics through group discussion in a closing session.
The third activity will be a second short webinar series to be held in December.
You can find more information about the YESS Learning Groups here.