Check back later for more.
This course assumes students are familar with the fundamentals of machine learning. The following resources are available for students looking for additional ML review:
Introduction to Statistical Learning with Applications in R. [book - available free online] [video lectures]
Google Developers Machine Learning Crash Course.
Lecture slides (Brown login required) for EEPS-DATA 1340 can be found here.
Government Science Agencies
Environmental Protection Agency (EPA): Climate Change Science
NOAA: Climate.gov
US Global Change Research Program: Climate Science Special Report (4th National Climate Assessment)
Intergovernmental Panel on Climate Change (IPCC)
Scientific Organizations
American Chemical Society (ACS): Climate Science Toolkit
American Meteorological Society (AMS): State of the Climate
US National Academy of Sciences & The Royal Society: Climate Change: Evidence and Causes (2020)
University resources
MIT Climate Portal: Climate Primer, Explainers and Ask MIT Climate
Check back - additional resources may be added.
Climate Change AI (sign up for their newsletter!)
AI For Earth and Space Sciences Workshop [ICLR 2020] [NeurIPS 2020] [ICLR 2022]
Machine Learning Advances Environmental Science Workshop [ICPR 2021]
Tackling Climate Change with Machine Learning Workshop [ICRL 2020] [ICML 2021] [NeurIPS 2022] [ICLR 2023] [NeurIPS 2023]
International Conference on Climate Informatics [2020] [2022]
NOAA Workshop on Leveraging AI in Environmental Sciences [2020] [2022]
Machine Learning for Climate and Weather Applications Workshop [2022]