Submission information
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
Webform: Knowledge Base Resources
| Approved | Yes |
|---|---|
| Title | Introduction to Probabilistic Graphical Models |
| Category | Learning |
| Skill Level | Beginner, Intermediate |
| Description | 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. |
| Link to Resource | |
| Tags | ai, machine-learning |
| Domain | ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast |
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