Gaussian Processes Courses and Certifications

MITCBMM

Learning What We Know and Knowing What We Learn - Gaussian Process Priors for Neural Data Analysis

Explore Gaussian process priors for neural data analysis, covering latent variable models, Bayesian inference, covariance kernels, and factor analysis. Gain insights into advanced techniques for understanding complex neural datasets.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2023 - Gaussian Processes

Explore Gaussian processes and their applications in statistical analysis, including oceanic spatial confounds and phylogenetic regression, for advanced data modeling techniques.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Gaussian Processes

Explore Gaussian processes, spatial confounding, and phylogenetic inference in statistical modeling. Learn to apply these concepts to real-world examples like oceanic covariance and primate phylogeny.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Google TechTalks

Pathwise Conditioning and Non-Euclidean Gaussian Processes

Explore advanced Gaussian process techniques for efficient Bayesian optimization, including pathwise conditioning and models on graphs and manifolds, enhancing decision-making in complex settings.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

VinAI

Geometry of Covariance Matrices, Covariance Operators, and Gaussian Processes

Explore geometric approaches to covariance matrices, operators, and Gaussian processes. Gain insights into non-Euclidean distances, Fisher-Rao distance, and Wasserstein distance in infinite-dimensional settings.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Uncertainty in Artificial Intelligence

Geometric Probabilistic Models - Tutorial 4

Explore geometric probabilistic models for data-efficient, uncertainty-aware decision-making in applications like drug design and robotics. Learn theory and implementation of Gaussian processes and related techniques.

• YouTube
• 2 hours 32 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Sparsifying Suprema of Gaussian Processes

Explore approximation techniques for Gaussian processes and their applications in computational learning and property testing.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Inside Livermore Lab

Physics-Enhanced Gaussian Processes for Learning of Electromechanical Systems

Explore physics-enhanced Gaussian processes for modeling electromechanical systems. Learn about GP-PHS and physics-enhanced variational autoencoders to improve data efficiency and ensure physical correctness.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Alan Turing Institute

Some Thoughts on Gaussian Processes for Emulation of Deterministic Computer Models

Explore Gaussian Process emulators for complex computer models in uncertainty quantification, focusing on theoretical aspects and applications to climate, tsunami, and earthquake problems.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Probabilistic AI School

Gaussian Processes

Explore Gaussian Processes with Daniel Hernández-Lobato, covering key concepts, applications, and advanced techniques in probabilistic machine learning.

• YouTube
• 2 hours 22 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Exploiting Anisotropy in Gaussian Process Emulation

Explore advanced techniques in Gaussian process emulation, focusing on anisotropic properties and their applications in statistical modeling and data-driven engineering.

• YouTube
• 34 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Non-stationary and Deep Gaussian Processes

Explore advanced concepts in non-stationary and deep Gaussian processes, focusing on mathematical foundations and statistical applications in data-driven engineering.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Banach Center

Two-Dimensional Gaussian Processes: Testing Procedure Based on Empirical Cross-Covariance Function

Explore testing procedures for 2D Gaussian processes using empirical cross-covariance functions in this mathematical analysis presentation.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Introduction to Uncertainty Quantification

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Scientific Machine Learning

Learn the basics of machine learning with hands-on practical examples on engineering applications.

• edX
• 16 weeks, 6-7 hours a week
• On-Demand
• Free Online Course (Audit)