The courses will be given on the first day (May 8, 2023) of the EMR Conference. They will open when ten or more participants are enrolled. Each course is limited to a maximum of fifteen participants.
The workshop introduces explainable AI (XAI) methods to build predictive models and extract knowledge, combining theory with hands-on examples such as mortality prediction for COVID or heart disease classification. It follows material from Explanatory Model Analysis using R and the DALEX library.
The sessions span exploratory data analysis, model building (decision trees, random forests, hyperparameter tuning), local explanations (SHAP, break-down, LIME), and global explanations (permutation importance, partial dependence).
Instructor: Przemyslaw Biecek
This course focuses on techniques to mitigate unwanted variation in large-scale RNA sequencing data using PRPS, combining methodology discussion with practical guidance for bioinformatics workflows.
Instructors: Ramyar Molania and Marie Trussart
An applied walkthrough of cloud-native tooling and best practices for reliable, responsible data science projects, covering deployment patterns, governance, and collaboration workflows.
Instructors: Erdal Coşgun, Vincent Carey, and Deniz İlhan Topçu