Uncertainty Quantification with Conformal Prediction

Curious about reliable uncertainty estimates in machine learning? In this hands-on workshop, you’ll learn how to apply conformal prediction to build models that know when they’re likely to be wrong.

✅ What you’ll learn:

• The theory behind conformal prediction
• How to apply it for classification and regression
• Best practices, pitfalls, and practical tips
• Real-world case studies

🧑‍💻Format:

• Short theory talks
• Hands-on sessions with Jupyter Notebooks
• Interactive exercises and discussions

🎯 Who it’s for:

Data scientists, ML engineers, and researchers with basic Python & ML knowledge.

If you’re interested, just send an email. We can discuss the scope, format, and length to tailor it to your needs.

Interested? Get in touch at chris@christophmolnar.com and let’s set up your workshop. For in-house workshops, I can travel to any location easily reachable from Munich. I look forward to helping your team!

See also my other workshops