Bayesian Inference Courses and Certifications

Uncertainty in Artificial Intelligence

UAI 2023 Poster Spotlights - Advanced Topics in Uncertainty and AI

Explore cutting-edge research in uncertainty and AI, covering topics from point processes and GNN spatial convolutions to variational inference and Bayesian approaches in reinforcement learning.

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

Probabilistic AI School

Bayesian Workflow

Learn Bayesian workflow techniques for probabilistic modeling, including prior specification, model checking, and posterior predictive checks.

• YouTube
• 2 hours 19 minutes
• On-Demand
• Free Video

Probabilistic AI School

Bayesian Workflow

Learn Bayesian workflow techniques for probabilistic modeling, from problem formulation to model evaluation and iteration, enhancing your data analysis skills.

• YouTube
• 2 hours 4 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Introduction to Probability and Bayesian Inference - Lecture 1

Explore probability fundamentals and Bayesian inference principles in this comprehensive lecture, laying the groundwork for advanced data assimilation techniques in weather and climate modeling.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Bayesian Inference - Lecture 2

Explore Bayesian inference principles, methods, and applications in data assimilation for weather and climate modeling. Gain insights into uncertainty estimation and practical implementation.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Video

Dublin Institute for Advanced Studies DIAS

Learning Theory-Informed Priors for Bayesian Inference - A Case Study with Early Dark Energy

Explore novel methods for learning theory-informed priors in Bayesian inference using normalizing flows, with applications to early dark energy models in cosmology.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Bayesian Inference of Dependent Population Dynamics in Coalescent Models

Explore Bayesian inference techniques for analyzing dependent population dynamics in coalescent models, focusing on applications in genomics and evolutionary biology.

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

BIMSA

Variational Approximations for Bayesian and Semi-Bayesian Inferences

Explore variational approximations in Bayesian inference, focusing on group-variable selection and heteroscedastic Gaussian processes. Learn efficient parameter estimation and process forecasting techniques.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Probability - The Science of Uncertainty and Data

34 reviews

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.

• edX
• 16 weeks, 10-14 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Bayesian Statistics

12 reviews

Learn to apply Bayesian methods for statistical inference, decision-making, and regression. Update prior probabilities, make optimal decisions, and implement model averaging using R software.

• Coursera
• 1 day 10 hours 38 minutes
• On-Demand
• Free Online Course (Audit)

Time, Change, and Decisions for Marketing

Revolutionize marketing strategies with advanced analytics, optimizing decision-making through Bayesian networks, time series forecasting, and causal modeling for data-driven, adaptive campaigns.

• Coursera
• 22 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Bayesian statistics

6 ratings at OpenLearn

This free course is an introduction to Bayesian statistics. Section 1 discusses several ways of estimating probabilities. Section 2 reviews ideas of conditional probabilities and introduces Bayes’ ...

• OpenLearn
• 12 hours
• On-Demand
• Free Certificate

Microcredential

Bayesian Statistics

Comprehensive exploration of Bayesian statistics, covering concepts, techniques, models, and applications. Develop proficiency in statistical analysis, R programming, and real-world data modeling.

• Coursera
• 26 weeks, 4 hours a week
• On-Demand
• Paid Course
• 5 courses

Probability for Statistics and Data Science

1141 ratings at Udemy

Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

• Udemy
• 3 hours 40 minutes
• On-Demand
• Paid Course

Bayesian Statistics: Time Series Analysis

15 ratings at Coursera

Explore time series analysis through Bayesian statistics, covering AR processes and Normal Dynamic Linear Models. Apply concepts using R for practical data analysis and forecasting.

• Coursera
• 22 hours 19 minutes
• On-Demand
• Free Online Course (Audit)