PGM

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Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Dive into the world of Probabilistic Graphical Models 1: Representation, a Coursera course designed for those eager to understand how to represent complex joint probability distributions. This course explores the intersection of statistics and computer science, teaching you essential concepts from probability theory, graph algorithms, and machine learning that are crucial in developing state-of-the-art methods across numerous applications.

Jun 8th 2026
5-12 Weeks
Probabilistic Graphical Models 3: Learning (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 3: Learning (Coursera)

Explore advanced concepts in Probabilistic Graphical Models (PGMs) with 'Probabilistic Graphical Models 3: Learning'. This course delves deep into learning techniques for complex domains, enabling you to encode sophisticated joint distributions over numerous interacting variables. Gain insights into state-of-the-art methods and apply them across various fields such as healthcare, image processing, speech recognition, and natural language processing.

Jun 8th 2026
5-12 Weeks
Probabilistic Graphical Models 2: Inference (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 2: Inference (Coursera)

Dive into the world of Probabilistic Graphical Models 2: Inference, an advanced online course designed for those who want to delve deeper into decoding complex joint probability distributions. This course will equip you with essential skills in statistical modeling and machine learning, using techniques that sit at the intersection of statistics and computer science.

May 25th 2026
5-12 Weeks
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