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