-
LinkedIn
- Learning to be Relevant
- Two tower models for retrieval
- A closer look at the AI behind course recommendations on LinkedIn Learning, Part 1, Part 2
- Intro to AI at Linkedin
- Building The LinkedIn Knowledge Graph
- The AI Behind LinkedIn Recruiter search and recommendation systems
- Communities AI: Building communities around interests on LinkedIn
- Linkedin's follow feed
- XNLT for A/B testing
-
Google
- The YouTube Video Recommendation System
- Deep Neural Networks for YouTube Recommendations
- Recommending What Video to Watch Next: A Multitask Ranking System
- Exploring Transfer Learning with T5
- Google Research, 2022 & beyond
- ML pipelines with TFX and KubeFlow
- How Google Search works
- Page Rank algorithm (intro to page rank, the algorithm that started google)
- TFX workshop by Robert Crowe
- Google Cloud Platform Big Data and Machine Learning Fundamentals
-
Scalable ML using AWS
-
Meta
- Machine Learning at Facebook Talk
- Scaling AI Experiences at Facebook with PyTorch
- Understanding text in images and videos
- Protecting people
- Ads
- Newsfeed Ranking
- Photo search
- Social graph search
- Recommendation
- Live videos
- Large Scale Graph Partitioning
- TAO: Facebook’s Distributed Data Store for the Social Graph (Paper)
- NLP at Facebook
-
Netflix
-
Airbnb
-
Uber