DS-UA 205
Machine Learning for Climate Change
New York University · UGRD · Fall 2026
Catalog description
This course will introduce you to both modern machine learning techniques and their domain-specific application toward climate change problems. Lectures will be organized around published research papers. Unless otherwise noted, in the second half of each class, there will be a lecture that provides the necessary background needed to read the assigned paper. In the first half of the next class, we will have a group discussion on the assigned paper. Paper discussions will be complemented by coding assignments wherein students will apply machine learning techniques to climate-related data. Skills gained in the course will be applied to a final course project designed by the students.
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