Machine Learning Tutorial Exercise

Engage in a hands-on tutorial exercise focused on machine learning applications in geophysical fluid dynamics. Learn practical techniques for implementing machine learning algorithms to analyze and model complex atmospheric and oceanic systems. Explore how these cutting-edge data science methods can be applied to address challenges in climate modeling, energy transfers, and multi-scale interactions. Gain valuable skills in utilizing machine learning tools to enhance understanding and prediction of Earth's climate dynamics under the guidance of expert instructor Han Wang from the University of Edinburgh.