The ideas here were distilled from reading Chip Huyen’s Designing Machine Learning Systems.
## Overview
- [[
picklevsjoblib]] - Data Drift
- Data Engineering
- Debugging ML Models
- Feature Engineering
- Good vs Useful ML Systems
- ML Objectives
- ML Performance Baselines
- ML System Requirements
- ML UX Design
- Model Calibration
- Model Evaluation
- Model QA
- Random Baseline Thought Experiment
- Recipes for Building ML models