Advanced mathematics and machine learning to exploit the value of data for climate policies
A successful new course of the Future Earth Research School on “Data Science and Machine Learning for Climate Research” has recently concluded in Bertinoro (FC): 23 participants from 13 different countries gained new knowledge on the mathematical basis for the analysis of complex systems, such as the climate, through machine learning. New applications of machine learning to climate models have the potential to reduce the time frame in which new research is produced and contribute to increasingly more accurate and detailed representations of Future Earth’s scenarios. During the third course of the Future Earth Research School (FERS) on “Data Science…