Experiment Tracking
Domain: MLOps
🎯 Motivation
Logging every training experiment: hyperparameters, data version, model architecture, results. For reproducibility.
📋 Concrete Example
Experiment log: {exp_42: lr=0.001, batch=32, data_v3, accuracy=88%}. {exp_43: lr=0.002, batch=64, data_v3, accuracy=85%}. All tracked for comparison.
🔗 Analogy
A scientist’s lab notebook - every experiment is logged: conditions, procedure, results. Experiment tracking is the lab notebook for AI experiments.