The two-day Bootcamp aims to teach Climate Data Science in the cloud using python tools with an emphasis on reproducibility and collaboration. Participants will learn through a variety of activities including lectures, labs, and team hacking, which will prepare participants for machine learning-enabled climate research and more advanced and intensive research-oriented workshops. Applications are due on December 16.
We are also looking for Machine Learning Coaches to help with the bootcamp. Machine Learning Coach Form
As a volunteer ML Coach in the LEAP Winter Bootcamp, you’ll provide assistance to instruction on data manipulation and neural networks with a focus on climate analysis. You’ll work closely with participants to enhance their modeling skills, helping them gain insights into projected climate outcomes. This role requires a balance of technical knowledge and mentorship skills.
You will be acknowledged as a volunteer ML Coach on Bootcamp's GitHub page, have free admission to all the Bootcamp activities, and have termed access to LEAP PANGEO, a cloud computing platform for climate data science.
Volunteer ML Coaches MUST be available to support the Bootcamp instructors on-site at Teachers College at Columbia University on both days (January 13-14, 2025).
