Introduction to Probabilistic Graphical Models

Submission Number: 160
Submission ID: 3851
Submission UUID: 50ce4508-b453-465a-9229-8d1994443e22
Submission URI: /form/resource

Created: Thu, 07/20/2023 - 12:51
Completed: Thu, 07/20/2023 - 12:51
Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 73.243.81.95
Submitted by: Ofer Dagan
Language: English

Is draft: No
Yes
Introduction to Probabilistic Graphical Models
Learning
Beginner, Intermediate
This website summarizes the notes of Stanford's introductory course on probabilistic graphical models. It starts from the very basics and concludes by explaining from first principles the variational auto-encoder, an important probabilistic model that is also one of the most influential recent results in deep learning.
ai, machine-learning
ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast
{Empty}