Gaussian Processes Courses and Certifications

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
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking - Gaussian Processes - Lecture B06

Explore Gaussian processes for flexible non-parametric modeling and spatial correlation analysis in Bayesian statistics.

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

Richard McElreath

Statistical Rethinking 2023 - Gaussian Processes

Explore Gaussian processes for spatial confounds and phylogenetic regression through statistical modeling.

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

Richard McElreath

Statistical Rethinking 2022 - Gaussian Processes

Explores Gaussian processes through spatial confounding, covariance, and applications to oceanic data and primate phylogeny.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Advanced Bayesian Methods and Applications

Apply variational inference, Bayesian decision theory, Gaussian processes, and Dirichlet processes, building probabilistic models in PyMC with applications in sports analytics and medical informatics.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

Data Analysis: Statistical Modeling and Computation in Applications

Analyze real data with statistics and computation: apply PCA to genomics, centrality measures to criminal networks, time series models to financial forecasting, and Gaussian processes to environmental prediction.

• MITx Online
• Self-Paced
• Free Online Course

Learning-based control

This MOOC introduces learning-based control (LBC): the use of machine learning in the design or operation of control systems. Participants will build a solid foundation in control, relevant machine le

• edX
• 7 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Richard McElreath

Statistical Rethinking 2022

Master Bayesian inference, multilevel modeling, and causal reasoning through practical statistical methods that avoid common pitfalls in data analysis and research design.

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

University of Tübingen

Probabilistic Machine Learning

A graduate-level lecture series on Bayesian machine learning, from uncertainty and sampling through Gaussian processes, graphical models, and variational inference.

• YouTube
• 1 day 16 hours
• Self-Paced
• Free Online Course

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

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

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

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