Intro and welcome
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.
Discussion of best practices for collaborative work. Reflecting on the opportunities and challenges of small group work.
Introducing neural networks
Introducing tree-based methods
Guidance on managing reproducible ML workflows.
Using ML methods for classification purposes.
Complete a survey providing us with feedback for improving our program.