Bayesian Networks Courses and Certifications

Simons Institute

Mind Over Data - The One Thing You Know and Machines Don't

Explore the intersection of human intuition and machine learning in causal reasoning, examining Bayesian networks, confounding factors, and real-world applications in AI and data analysis.

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

Simons Institute

Introduction to Causal Graphical Models - Graphs, D-Separation, Do-Calculus

Explore causal graphical models, d-separation, and do-calculus. Learn about graphs, Bayesian networks, and instrumental variables for understanding causality in complex systems.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Uncertainty in Artificial Intelligence

Revisiting Bayesian Network Learning with Small Vertex Cover

Explore Bayesian network structure learning with bounded vertex cover, analyzing complexity bounds and hardness results for optimization and counting problems.

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

Center for Language & Speech Processing(CLSP), JHU

Turning Probabilistic Reasoning into Programming - 2003

Explore IBAL, a general-purpose probabilistic modeling language encompassing various representation methods for reasoning under uncertainty.

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

UofU Data Science

Probabilistic Machine Learning - Lecture 21

Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical and practical aspects in this graduate-level academic session.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

UofU Data Science

Probabilistic Machine Learning - Lecture 18

Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical frameworks and practical applications in modern computational analysis.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

UofU Data Science

Probabilistic Machine Learning - Lecture 16

Dive into advanced data science concepts through a comprehensive graduate-level lecture covering key theoretical and practical aspects of modern data analysis and machine learning techniques.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

UofU Data Science

Probabilistic Machine Learning - Lecture 15

Dive into advanced data science concepts through a comprehensive graduate-level lecture covering key theoretical foundations and practical applications in modern data analysis and machine learning.

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

UofU Data Science

Probabilistic Machine Learning - Lecture 14

Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical and practical aspects in this graduate-level academic session.

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

UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Wolfram

The BayesianNetwork Paclet - Graphical Probabilistic Models for Reasoning Under Uncertainty

Explore Bayesian networks for probabilistic modeling and uncertainty reasoning using Wolfram's specialized paclet for multivariate probability distributions.

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

Discover AI

Monte Carlo and Bayesian Networks for AI Agent Decision Making

Explore advanced probabilistic frameworks combining Dynamic Bayesian Networks and Monte Carlo methods to enhance AI agent decision-making in complex, high-dimensional environments through practical implementations.

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

Conf42

Cloud-Native AI for Fraud Prevention with Bayesian Networks

Discover how to implement cloud-native AI solutions using Bayesian networks for real-time fraud detection, covering dynamic risk scoring, ML processing, and model drift management.

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

Probabilistic Graphical Models 3: Learning

304 ratings at Coursera

Learn to build probabilistic graphical models from data, covering parameter estimation, structure learning, and handling incomplete data. Explore advanced techniques for both directed and undirected models.

• Coursera
• 66 hours
• On-Demand
• Paid Course

Bayesian Statistics

658 ratings at Udemy

Bayes Theorem, Bayesian networks, Bayesian sampling methods, Bayesian inference, machine learning and much more

• Udemy
• 4 hours 34 minutes
• On-Demand
• Paid Course