Interpretable Machine Learning with SHAP Values

Explaining how a model arrived at a prediction is an important part of using machine learning. In this hands-on presentation, we will be exploring how to use SHAP values, a widely used model interpretation method, and compare them with other methods. You will learn what SHAP values are and how to apply them using the popular shap Python library.

Event Details

• Date: April 24, 2025
• Time: 6:15 PM - 8:00 PM
• Location: University of Geneva, Uni Mail Room M3220
• Address: Bd du Pont-d’Arve 40, 1205 Genève
• Presentation Material

Speakers

Carson Sprock Data Scientist

Carson is a data scientist from California who has worked in the freight and commodities industries in the United States and Switzerland.

Agenda

1. 6:15 PM - 7:00 PM: Presentation and Q&A

2. 7:15 PM - 8:00 PM: Networking

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For any questions about this event, please contact us at contact@genevalytics.ch.