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Machine Learning Methods for Climate Science - Lecture 3

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Machine Learning Courses Environmental Science Courses Data Analysis Courses Neural Networks Courses Oceanography Courses Predictive Modeling Courses Statistical Methods Courses Climate Science Courses Climate Modeling Courses Atmospheric Science Courses

Course Description

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 climate-related phenomena, 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 lecture requires no prior background in climate-atmosphere-ocean dynamics. Discover the intersection of artificial intelligence and climate science, and learn how these cutting-edge methods are enhancing our understanding of complex environmental systems.

Syllabus

Machine Learning Methods for Climate Science (Lecture 3) by Aman Gupta


Taught by

International Centre for Theoretical Sciences

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