Machine Learning Methods for Climate Science - Lecture 4

Explore machine learning applications in climate science through this lecture, part of a pedagogical program on mathematical modeling of climate, ocean, and atmosphere processes. Delve into advanced techniques for analyzing and predicting complex climate systems, presented by Aman Gupta from Stanford University. Gain insights into how machine learning is revolutionizing climate research, data analysis, and forecasting. Designed for Masters and final-year undergraduate students, this 1-hour 41-minute session requires no prior background in climate-atmosphere-ocean dynamics. Participate in a diverse and inclusive learning environment that encourages the involvement of underrepresented groups in the field of climate science.

Machine Learning Methods for Climate Science (Lecture 4) by Aman Gupta