Overview
The Gaussian Process and Uncertainty Quantification Summer School is set to take place from September 8 to 11, 2025, in Manchester, UK. This event presents a unique opportunity for participants to deepen their understanding of Gaussian processes and their applications in uncertainty quantification. The summer school will feature a blend of informative talks and hands-on practical sessions, culminating in a workshop focused on Gaussian processes for decision-making.
Background & Relevance
Gaussian processes are a powerful tool in machine learning, particularly for regression and classification tasks where uncertainty quantification is crucial. They allow researchers and practitioners to make informed decisions based on probabilistic models, which is increasingly important in various fields, including statistics, data science, and artificial intelligence. This summer school aims to equip attendees with the necessary skills and knowledge to effectively utilize Gaussian processes in their work.
Key Details
- Event Dates: September 8-11, 2025
- Location: Manchester, UK
- Workshop: One-day workshop on Gaussian processes for Decision Making on September 11, 2025
- Early-Bird Registration Deadline: August 1, 2025
- Registration Link: Gaussian Process Summer School 2025
Eligibility & Participation
This summer school is designed for researchers, practitioners, and students interested in enhancing their knowledge of Gaussian processes and uncertainty quantification. Participants from various backgrounds in machine learning, statistics, and related fields are encouraged to attend.
Submission or Application Guidelines
To register for the summer school, interested individuals should visit the provided link and complete the registration process before the early-bird deadline. Attendees who register for the summer school will have the opportunity to participate in the workshop at no additional cost.
More Information
The Gaussian Process and Uncertainty Quantification Summer School serves as an important gathering for those interested in cutting-edge methodologies in machine learning. By focusing on Gaussian processes, this event highlights their significance in decision-making processes and the broader implications for AI and data-driven research. Participants will benefit from the expertise of leading academics and practitioners in the field, fostering collaboration and knowledge exchange.
Conclusion
This summer school presents a valuable opportunity for anyone looking to advance their understanding of Gaussian processes and uncertainty quantification. Interested individuals are encouraged to register early to secure their spot and take advantage of the free workshop. Explore this opportunity to enhance your skills and connect with experts in the field.
Category: Conferences & Workshops
Tags: gaussian processes, uncertainty quantification, machine learning, summer school, decision making, workshop, data science, AI, statistics, practical sessions, academic events, University of Manchester
