Intro and welcome
Getting to know each other setting the stage for our work together.
An overview of the primary stages of typical Machine Learning workflows including data preparation, model selection, training, and visualization.
Overview of projects for this hackweek and how we will gather in small groups.
Choosing our project team for the week.
Introduction to a management tool to streamline Machine Learning workflows.
Reflecting on the opportunities and challenges of small group work.
Guidance on deploying Machine Learning workflows on cloud computing infrastructure.
Group discussion on ethical considerations of AI development including cultural considerations, awareness of bias, and other themes.
Best practices for contributing to community software; exploration of community alignment around ML geoscience software.
Setting a course for continued engagement with a ML geoscience community of practice.
Designing curriculum and project work for a 2024 GeoSMART hackweek.
Complete a survey providing us with feedback for improving our program.