Probabilistic Models Courses and Certifications

Probabilistic Graphical Models 1: Representation

18 ratings

Explore probabilistic graphical models, including Bayesian networks and Markov networks, to encode complex probability distributions for applications like medical diagnosis and speech recognition.

• Coursera
• 67 hours
• Self-Paced
• Paid Course

Alan Turing Institute

Learning Real-World Probabilistic Models with Approximate Message Passing

Explore probabilistic modeling for big data using factor graphs and message passing. Learn how Amazon tackles real-world problems with advanced statistical techniques in the era of structured data.

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

Paul G. Allen School

Probabilistic Models for Learning a Semantic Parser Lexicon

Probabilistic models for learning semantic parser lexicons from question/answer pairs, improving accuracy and efficiency without extensive human input or dataset-specific engineering.

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

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Models of Relational Domains

Explore probabilistic models for relational domains with Stanford's Daphne Koller, covering advanced techniques for representing and reasoning about complex, interconnected data structures.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Probabilistic AI School

Introduction to Probabilistic Models - Probabilistic AI School

Explore probabilistic models, their applications, and fundamental concepts in this comprehensive introduction by Silja Renooij at the Nordic Probabilistic AI School.

• YouTube
• 2 hours 10 minutes
• Self-Paced
• Free Video

Probabilistic AI School

Introduction to Probabilistic Models - Lecture 1

Explore probabilistic models, their applications, and fundamental concepts in this comprehensive introduction by Silja Renooij at the Nordic Probabilistic AI School.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Models of Relational Domains

Explore advanced probabilistic modeling techniques for complex relational data structures and their applications in machine learning and artificial intelligence.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Models of Relational Domains

Explore probabilistic models for relational domains with Stanford's Daphne Koller in this comprehensive lecture covering advanced machine learning concepts and applications.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Natural Language Processing with Probabilistic Models

1784 ratings at Coursera

This is the Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 6 hours 25 minutes
• Self-Paced
• Paid Course

Fundamentals of Quantitative Modeling

5 ratings

Aprenda a criar modelos quantitativos para análise de dados empresariais, incluindo modelos lineares, probabilísticos e de regressão. Domine técnicas essenciais para previsão, otimização e tomada de decisões baseadas em dados.

• Coursera
• 9 hours 33 minutes
• Self-Paced
• Paid Course

Career Certificate

Probabilistic Graphical Models

1549 ratings at Coursera

Explore probabilistic graphical models, a powerful framework for encoding complex probability distributions, with applications in machine learning, medical diagnosis, and more.

• Coursera
• 16 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Probabilistic Graphical Models 2: Inference

489 ratings at Coursera

Explore probabilistic inference in graphical models, covering exact and approximate algorithms for conditional probability queries and MAP inference, with hands-on programming assignments.

• Coursera
• 38 hours
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

International Mathematical Union

Spin Systems with Hyperbolic Symmetry

Explore spin systems with hyperbolic symmetry, their origins, applications in probabilistic models, recent findings, and open questions in this advanced mathematical discussion.

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

USC Probability and Statistics Seminar

How to Measure Differences in Rankings

Explore a generalized Mallows model framework that learns distance metrics from data to better understand ranking differences across domains like recommendations and hiring decisions.

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