Machine Learning for the Earth & Environment

Welcome to EEPS 1960D: Machine Learning for the Earth and Environment!

This course introduces science students to modern data science tools for exploratory data analysis, predictive modeling with machine learning, and scalable algorithms for big data. The course will familiarize students with a cross-section of common machine learning models and algorithms emphasizing developing practical skills for working with data. The intended audience is advanced undergraduate and graduate students in Earth, Environmental and Planetary Sciences or other physical science disciplines.