Gaussian Processes Courses and Certifications

ScienceClic

The Physics of AI

Explore the physics behind AI and neural networks, from the Ising model to quantum fields, explaining why the 2024 Nobel Prize in Physics recognized artificial intelligence breakthroughs.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Fields Institute

Kernel Methods for Machine Learning and Dynamical Systems

Explore advanced kernel methods in machine learning and dynamical systems through expert talks on Gaussian processes, functional data analysis, and sparse factorization techniques.

• YouTube
• 9 hours 2 minutes
• Self-Paced
• Free Video

Simons Institute

Computation in Very Wide Neural Networks

Explore infinite-width neural networks, their correspondence to Gaussian processes, and implications for deep learning performance and dynamics in parameter space.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Simons Institute

Scaling Up Bayesian Inference for Big and Complex Data

Explore advanced Bayesian inference techniques for large-scale datasets, focusing on computational challenges and innovative solutions in machine learning and deep learning applications.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

media.ccc.de

A Few Quantitative Thoughts on Parking in Marburg - RC3 - 2020

Analyse des données de stationnement à Marburg : tendances, modèles et prévisions pour optimiser l'utilisation des espaces de stationnement et améliorer la planification urbaine.

• YouTube
• 28 minutes
• Self-Paced
• Conference Talk

International Mathematical Union

Statistical Inverse Problems and PDEs: Progress and Challenges

Explore statistical inverse problems and PDEs, covering Bayesian approaches, computational challenges, and mathematical guarantees for algorithms in high-dimensional settings.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

MLCon | Machine Learning Conference

Deep Probabilistic Modelling with Pyro

Explore deep probabilistic modeling with Pyro, combining probabilistic methods and neural networks for better uncertainty handling and decision-making in machine learning applications.

• YouTube
• 33 minutes
• Self-Paced
• Conference Talk

Alan Turing Institute

The Automatic Statistician - Professor Zoubin Ghahramani

Explore Bayesian model selection strategies for automated data analysis and report generation, with insights on regression models, Gaussian processes, and computational resource allocation.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

AutoML Seminars

Vanilla Bayesian Optimization Performs Great in High Dimensions

Discover how scaling Gaussian process lengthscale prior with dimensionality enables vanilla Bayesian optimization to excel in high-dimensional optimization problems, outperforming complex alternatives.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Google TechTalks

Robust Design Discovery and Exploration in Bayesian Optimization

Explore data-driven methods for robust design discovery and optimization, focusing on Bayesian techniques that efficiently handle uncertainties and adversarial scenarios in various scientific domains.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Gaussian Process Regression

Explore non-linear regression techniques, focusing on Gaussian Process Regression, basis functions, and systems. Gain insights into GP priors for advanced statistical modeling.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

nanohubtechtalks

Gaussian Process Regression for Surface Interpolation

Explore Gaussian Process Regression for surface interpolation in manufacturing. Learn fundamentals, applications, and the innovative filtered kriging technique for improved performance in nanomanufacturing contexts.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

ICTP Condensed Matter and Statistical Physics

Unlocking Atomistic Simulation Potential: Tutorial on DeePMD-kit for Accurate Machine-Trained Models

Explore DeePMD-kit for creating precise machine-trained potentials in atomistic simulations. Learn key components and practical usage of this powerful tool for quantum-level accuracy at near-classical computational costs.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Topics in High Dimensional Probability

Explore advanced mathematical concepts in high-dimensional probability through expert lectures on random matrices, geometric approaches, and complex stochastic models.

• YouTube
• 1 day 2 hours 52 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Methods for Scalable Probabilistic Inference - IPAM at UCLA

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Explore scalable probabilistic inference methods for astrophysics, focusing on Gaussian Processes for time series analysis and open-source tools to accelerate Bayesian inference with large datasets.

• YouTube
• 46 minutes
• Self-Paced
• Free Video