This short course, instructed by Dr. Heike Hofmann, is designed to equip forensic professionals with the knowledge and skills to leverage machine learning for enhanced evidence analysis. Participants will delve into the core concepts of supervised learning, with a specific emphasis on the application of classification trees, random forests, and neural networks to forensic data. The curriculum includes:

• translating forensic challenges into machine learning problems
• implementing and customizing algorithms for specific forensic tasks
• understanding and mitigating the limitations of machine learning in forensic contexts
• developing robust strategies for evaluating and validating model performance

This course empowers practitioners to critically evaluate and effectively utilize machine learning tools in their forensic analyses.