Stanford CS224W: Machine Learning w/ Graphs I 2023 I GNNs for Recommender Systems
To follow along with the course, visit the course website: https://snap.stanford.edu/class/cs224... Jure Leskovec Professor of Computer Science at Stanford University https://profiles.stanford.edu/jure-le... Learn more and enroll: Graduate Course: https://online.stanford.edu/courses/c... Professional Course: https://online.stanford.edu/courses/x... To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu
▶︎
Stanford CS224W: ML with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs
▶︎
Stanford CS224W: Machine Learning w/ Graphs I 2023 I Graph Neural Networks
▶︎
Recommender Systems: Basics, Types, and Design Consideration | Machine Learning | Community Webinar
▶︎
Stanford CS224W: Machine Learning w/ Graphs I 2023 I Knowledge Graph Embeddings
▶︎
An Introduction to Graph Neural Networks: Models and Applications
▶︎
AlphaFold - The Most Useful Thing AI Has Ever Done
▶︎
Spotify ML Question - Design a Recommendation System (Full mock interview)
▶︎
Stanford CS224W: Machine Learning w/ Graphs I 2023 I Machine Learning with Heterogeneous Graphs
▶︎
Yann LeCun: World Models: Enabling the next AI revolution
▶︎
GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
▶︎
What is an AI Recommendation Engine?
▶︎
Graph Representation Learning (Stanford university)
▶︎
Building an AI Dark Factory: A Codebase That Writes Its Own Code, Live
▶︎
Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!
▶︎
Stanford CS224W: Machine Learning w/ Graphs I 2023 I Geometric Graph Learning, Minkai Xu
▶︎
Intro to graph neural networks (ML Tech Talks)
▶︎
How Graph Technology Is Changing Artificial Intelligence and Machine Learning
▶︎
MIT 6.S191: AI for Science
▶︎
Machine Learning in Ads Ranking | Oleg Tishutin | ML Software Engineer at Meta
▶︎