ML Platform
MLflow
MLflow structures the machine-learning lifecycle around tracked experiments, artifacts and model versions. It supports reproducible model comparison, clearer handoffs between development and deployment, and a shared record of how each model was trained and evaluated.
Related skills
- Forecasting
Forecasting
Predicting future values using historical data patterns, statistical models, and machine learning algorithms
- MLOps
MLOps
Operationalizing machine learning models through automated deployment, monitoring, versioning, and lifecycle management in production environments