Machine Learning Methods for Climate Science - Lecture 2
International Centre for Theoretical Sciences via YouTube
Overview
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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, with a focus on Masters and final-year undergraduate students. Gain insights from Stanford University's Aman Gupta as he presents the second installment in a series on machine learning methods for climate research. Discover how these cutting-edge approaches are revolutionizing our understanding of atmospheric and oceanic dynamics, convection, monsoon patterns, and climate models. Benefit from a comprehensive introduction to the intersection of artificial intelligence and climate science, designed for students with diverse academic backgrounds.
Syllabus
Machine Learning Methods for Climate Science (Lecture 2) by Aman Gupta
Taught by
International Centre for Theoretical Sciences