Master the art of algorithmic thinking, prediction modeling, and data visualization within the context of public health. Learn to translate 'messy' real-world problems into precise mathematical solutions using Python.

We will overview recent research in the area, provide fundamental principles for interpretable machine learning, and provide hands-on activities highlighting the use of the techniques on real world data. 

This tutorial will introduce the frontier of interpretable machine learning, and equip researchers and scientists with the knowledge and skills to apply interpretable machine learning in their research tasks for effective data analysis and responsible decision-making. (link)