Machine Learning Workflow

Machine Learning Workflow

Central Idea

  • Machine Learning Workflow

Main Branches

  1. Data Collection

    • Data Sources

    • Data Cleaning

    • Data Preprocessing

  2. Model Development

    • Model Selection

    • Model Training

    • Model Evaluation

  3. Model Deployment

    • Deployment Environment

    • Monitoring

    • Updates

  4. Maintenance

    • Performance Monitoring

    • Model Retraining

    • Feedback Loop