AI Bootcamp
Gaussian Processes
June 9–13, 2025
100 Powell-Booth
We're excited to announce that the 11th AI bootcamp is scheduled for June 9 to 13, 2025 in 100 Powell-Booth.
Gaussian Processes: A principled, interpretable, data-efficient framework for learning complex functions from noisy data, with built-in uncertainty quantification. Optimize costly experiments with active learning.
Topics Covered:
- Gaussian processes from scratch
- Practical Gaussian process frameworks
- Data modalities: GP's for time-series, high-dimensional data, and vector fields
- Case studies in active learning, fluid dynamics, and biology
Joining the Bootcamp:
- Availability: Limited to 20 participants.
- Registration: Sign up and complete the pre-screening Python Programming Quiz before 11:59 PM Pacific Time on June 6th. Please note that your enrollment won't be complete until you have taken the quiz and have received a confirmation email from the bootcamp organizers.
- Optional but highly recommended: Email us about yourself and your research and let us know how you think that this bootcamp can help you with your research.
Prerequisites: To maximize your learning experience, familiarity with the following is required:
- Experience with Python
- Experience with ML frameworks such as PyTorch
- Probability theory
- Linear Algebra
- Multivariable Calculus
Contact:
Bootcamp director: Reza Sadri
Administrative assistant: Caroline Murphy
Deadline for Registration: before 11:59PM Pacific Time on June 6th
Computing Resources: Hands-on sessions will primarily utilize Google Colab. Should there be a need for more computational resources than the free tier of Colab provides participants can opt for Colab Pro. We will offer reimbursements for a certain number of credits. Further details will be provided on the first day of the bootcamp.
For more information, please contact Reza Sadri, Director by email at [email protected].