< logs

Designing Machine Learning Systems
Chapter 1. Data Engineering Fundamentals
Chapter 2. Training Data
Chapter 3. Feature Engineering
Chapter 4. Model Dev & Offline Eval
Chapter 5. Model Deployment
Chapter 6. Data Distribution Shifts & Monitoring
Chapter 7. Continual Learning & Test in Production
Chapter 8. Infrastructure & Tooling for MLOps
Chapter 9. Human Side of ML

Designing Machine Learning Systems

This is my study notes of the book Designing Machine Learning Systems by Chip Huyen. Feel free to refer to them as a refresher or for your own notes.