organized in cooperation with Helmholtz Information & Data Science Academy (HIDA) and Helmholtz AI
Introduction to Uncertainty Quantification in ML
This half-day online course will introduce you to methods of uncertainty quantification (UQ) in machine learning. The potential applications of UQ methods to natural science research are numerous and can not be understated for their importance in the scientific process. These techniques will be essential to ensure the highest-quality and impactful scientific results from existing and future experimental works.
The basic course is for you if you do know Python, have basic statistical experience and know how to train a model with pytorch. The introductory course will be based on pytorch and equip the participants with basic tools necessary to begin implementing and using UQ methods. It will involve some theoretical descriptions but focus on hands-on exercises and discussions in the tutor groups.
Learning Goals
After this course, learners can embark on using UQ methods pytorch and the uncertainty toolbox.
Prerequisites
If you want to enroll in this course, we expect you to bring along knowledge of the Python language (basic Python, Pandas, Matplotlib). We also require you to have participated in the course “Introduction to Deep Learning”.
Target Group
This course targets researchers interested in uncertainty quantification (UQ) in machine learning.
Course Days & Times
Oct 2, 2025, 10 am - 2 pm
NOTE: Registration will open September 4, 2025, 12 pm.
Attendance & Certificates
The course content is coordinated, so we strongly recommend that you do not miss any part of the course. To receive a certificate we expect full time and active participation.
Registration & Cancellation
This course is open to individuals affiliated with Helmholtz or a HIDA Partner only.
Your registration for this course is binding. If you need to leave/miss the course for a period of time, please let us know in advance via hida-courses@helmholtz.de.
If you have to cancel the course for any reason, please do so as soon as possible to allow time for others to take your seat. To cancel, please withdraw your registration on the course site or write an email to hida-courses@helmholtz.de.
Additional Information
There is no waiting list for this course! If someone withdraws from a course, their place is automatically reopened. We therefore advise you to keep an eye on the registration in case the course is fully booked and you would like to attend. Also, this course will be offered again in the future - you can check our HIDA course catalog for updates.
This course is free of charge.
