Getting to know each other setting the stage for our work together.
Getting connected to our shared computational resources.
An overview of machine learning and 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.
Discussion of best practices for collaborative work. Reflecting on the opportunities and challenges of small group work.
Introducing tree-based methods
Guidance on managing reproducible ML workflows.
Using ML methods for classification purposes.
Setting a course for continued engagement with CUAHSI and the ML geoscience community of practice.
An opportunity to show what we accomplished during the week.
Complete a survey providing us with feedback for improving our program.
An opportunity to show what we accomplished during the week.
