ML use cases in the industry #
There are various use cases for machine learning, one good way to learn how they work in production is reading tech blogs! A lot of tech companies actually host their own tech blogs or write on Medium. These blogs provide great ways to learn how ML is used across the industry.
Resources #
ML Best Practices and Lessons
- Rules of Machine Learning: Best Practices for ML Engineers
- Machine Learning Design Docs Resources
- Distributed Machine Learning at Instacart
- Lessons Learned: The Journey to Real-Time Machine Learning at Instacart
Regression
- Using Machine Learning to Predict Value of Homes On Airbnb
- Customer Delivery Time (CDT) Prediction Using Machine Learning
Deep learning + Graph
- DeepETA: How Uber Predicts Arrival Times
- Deep Learning for Smarter ETA Predictions at DoorDash
- Improving ETAs with Multi-Task Models, Deep Learning, and Probabilistic Forecasts at DoorDash
- Traffic Prediction with Advanced Graph Neural Networks
Forecasting
Optimization
Machine Learning Infrastructure
- Michelangelo: Uber’s Machine Learning Platform
- Scaling Michelangelo: Uber’s Machine Learning Platform
- LyftLearn: ML Model Training Infrastructure Built on Kubernetes
- Looper: Meta AI Optimization Platform for Engineers
- Deployment for Free: Stitch Fix’s Approach
- Merlin: Shopify’s Machine Learning Platform
- Using MLOps to Build a Real-Time End-to-End Machine Learning Pipeline
- Serving Machine Learning Models Efficiently at Scale at Zillow
- Element: Walmart’s Machine Learning Platform
Recommendation
- How TikTok Recommends Videos For You
- Powered by AI: Instagram’s Explore Recommender System
- Twitter Recommendation Algorithm
LLM + GenAI