Advances in technology have empowered scientists to use a form of Artificial Intelligence called machine learning which extracts patterns from data and fills in missing information to improve climate change predictions. This data can then be used to model future climate change outcomes. Join Dr. Maria Molina to learn how data science can be used for climate science, research applications and results.
Dr. Maria J. Molina is a Project Scientist at the National Center for Atmospheric Research (NCAR), studying climate variability and change with data science tools.
